PLOS Computational Biology

2005 - 2026

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Volume 22, issue 9, 2026

Exploring heterogeneity in mosquito exposure and attraction and its implications for malaria transmission pp. 1-18

Lars Kamber, Aurélien Cavelan, Melissa A Penny, Nakul Chitnis and Emma Louise Fairbanks

Ten quick tips for spatial transcriptomics analysis pp. 1-12

Nagomi Kurogi, Koki Shimbara, Tatsuya Koreeda and Koki Tsuyuzaki

A Bayesian framework for multivariate differential analysis pp. 1-27

Marie Chion and Arthur Leroy

R-package agentBayes: Likelihood-based statistical methods for agent-based models pp. 1-25

Niklas Moser, Dmitri Finkelshtein, Georgy Chargaziya, Stephen J Cornell, Sara Hamis, Jacob G Scott, Dagim Shiferaw Tadele and Otso Ovaskainen

Sequence-free landscape inference for directed evolution pp. 1-26

Sebastian Towers, Jessica James, Harrison Steel and Idris Kempf

Dynamic vibration-driven feedback shapes predator–prey interactions in an orb-weaving spider pp. 1-26

Hsin-Yi Hung, Abel Corver and Andrew Gordus

Balanced DNA interpolation improves learning of genetic distance-informed embeddings in plants pp. 1-24

Lara M Kösters, Kevin Karbstein, Ladislav Hodač, Laura Albreht, Elvira Sahuquillo Balbuena, Daniel Botello, Olivier Hardy, Phebian Odufuwa, Eva Pardo Otero, Aireen Phang, Manuel Pimentel, Rosalía Piñeiro, James Smith, Peter Wilkie, Patrick Mäder and Jana Wäldchen

PanDelos-plus: A parallel algorithm for computing sequence homology in pangenomic analysis pp. 1-29

Simone Colli, Emiliano Maresi and Vincenzo Bonnici

Biomarker discovery and patient stratification in pancreatic cancer using incomplete multi-omics data pp. 1-29

Alejandra Paja-García, Rafael Romero-Becerra, Tero Aittokallio and Alberto López

Data-driven modeling of spatiotemporal dynamics using multimodal imaging data pp. 1-29

Chunyan Li, Yutong Mao, Xiao Liu and Wenrui Hao

When models choose metrics: Hidden geometry in computational biology pp. 1-7

Dillion M Fox

Topological potentials guiding protein self-assembly pp. 1-23

Ivan L A Spirandelli, Arnur Nigmetov, Dmitriy Morozov and Myfanwy E Evans

A unified framework for potency-oriented AMP discovery via multi-modal learning and guided sequence synthesis pp. 1-37

Wenyu Zhang, Yizheng Wang, Yixiao Zhai, Pinglu Zhang, Yijie Ding and Quan Zou

Twelve quick tips for designing AI-driven HPC workflows pp. 1-8

Jamie J Alnasir

SmartHisto: Bayesian active learning for histology images pp. 1-20

Sriram Vijendran, Bailey Arruda, Tavis K Anderson and Oliver Eulenstein

Quantification of beta-cell carrying capacity in prediabetes pp. 1-1

Aurore Woller, Yuval Tamir, Alon Bar, Avi Mayo, Michal Rein, Anastasia Godneva, Netta Mendelson Cohen, Eran Segal, Yoel Toledano, Smadar Shilo, Didier Gonze and Uri Alon

A real-time forecasting framework for emerging infectious diseases affecting animal populations pp. 1-22

Meryl Theng, Simin Lee, Andrew C Breed, Sharon Roche, Emily Sellens, Catherine Fraser, Kelly Wood, Chris P Jewell, Mark A Stevenson, Chris Baker and Simon M Firestone

malariasimple: An R package for fast simulations of malaria transmission pp. 1-13

Debbie Shackleton, Neil Ferguson, Lucy Okell, Tom Churcher and Pete Winskill

Robust circular cluster-based statistics for respiration-brain coupling pp. 1-19

Teresa Berther, Elio Balestrieri, Martina Saltafossi, Laura Bock Paulsen, Lau M Andersen and Daniel S Kluger

AET5: A transcriptome-guided molecular generation framework with contrastive self-supervised learning pp. 1-30

Zhikang Yuan, Xin Zhang, Gaoming Lin, Quan Zou, Subhashisa Swain, Yijie Ding, Prayag Tiwari, Shuofeng Yuan and Xiaoyi Guo

Volume 22, issue 8, 2026

RareCapsNet: An explainable capsule network enables robust discovery of rare cell populations from large-scale single-cell transcriptomics pp. 1-27

Sumanta Ray and Snehalika Lall

Cell-specific Cahn-Hilliard models predict condensed fates of the chromosomal passenger complex pp. 1-27

Sarah M Groves, Min-Jhe Lu, Astrid Catalina Alvarez-Yela, Monserrat Gerardo-Ramírez, P Todd Stukenberg, John S Lowengrub and Kevin A Janes

Modeling the influences of non-local connectomic projections on geometrically constrained cortical dynamics pp. 1-27

Rishikesan Maran, Eli J Müller and Ben D Fulcher

iDCF: Interpretable deconvolution of cell fractions via biologically-informed deep learning using scRNA-seq data pp. 1-27

Hongjiang Guo, Tingfang Wu, Wenzheng Wang, Yelu Jiang, Geng Li, Liangpeng Nie, Yunhua Jia, Lijun Quan, Moli Huang and Qiang Lyu

Reassessing adult surfactant replacement therapy with mechanics-informed reinforcement learning pp. 1-45

Philippe Meliga, Gregor Roncin, Alejandro Yepes Peñaranda and Elie Hachem

Stochastic modeling of long-legged ant A. gracilipes locomotion in laboratory experiments pp. 1-18

Jack Featherstone, Anouk Béraud, Meta Virant-Doberlet, Antonio Celani and Mahesh M Bandi

Cerebellum-inspired neural network of supervised learning with tensor-based sparse coding for multi-class classification pp. 1-26

Runguang Zhou, Douglas Zhou, Songting Li and Xiaoyu Chen

Multiscale modeling of T cell exhaustion: A mathematical framework integrating continuous dynamics with spatial heterogeneity pp. 1-26

Chenghang Li, Yuhong Zhang, Xue Liu, Yipu Qu, Xiulan Lai and Jinzhi Lei

A fast numerical integration scheme for clonal expansion processes on graphs pp. 1-24

Chay Paterson, Miaomiao Gao, Joshua Hellier, Georg Luebeck, David C Wedge and Ivana Bozic

ScanNet: Single-cell annotation informed by transcriptional regulation Network via iterative heterogeneous graph learning pp. 1-24

Yongyu Long, Wenhao Zhang, Lan Cao, Xiaobing Huang and Ying Wang

CLASPP: A unified model for predicting post-translational modifications pp. 1-24

Nathan Gravel, Zhongliang Zhou, Ruili Fang, Austin Downes, Saber Soleymani and Natarajan Kannan

Assessing the reliability of cellular decision making from noisy, multidimensional single-cell TNF–NF-κB signaling data pp. 1-25

Ali Emadi, Tomasz Lipniacki, Andre Levchenko and Ali Abdi

The multi-omics fallacy in microbiome science pp. 1-7

Rebecca Lewandowski

The SATvac model of CD8+ T cell expansion and contraction phases considering memory and effector cell differentiation pp. 1-35

Seyedeh Fatemeh Seyyedizadeh, David A Christian and Thomas A Adams

Leveraging synthetic and genetic data to improve epidemic forecasting pp. 1-29

Dave Osthus, Alexander C Murph, Emma E Goldberg, Lauren J Beesley, William M Fischer, Nidhi Parikh and Lauren A Castro

Theory and evidence of amplitude control by frequency detuning in a coupled neuronal oscillator system pp. 1-36

Adam C Lu, Seyed AmirHossein Ourang and Jeffrey D Moore

Collective posterior inference from highly variable empirical replicates pp. 1-21

Nadav Ben Nun, Saharon Rosset, David Gresham and Yoav Ram

Decoding behavior with minimal and interpretable agent models pp. 1-21

Giorgio Nicoletti and Antonio Celani

Non-Markovian dynamics and effective reproduction number in COVID-19: Evidence from Cyprus contact tracing data pp. 1-23

Pavlos Alexandros Dimitriou, Matteo D’Alessandro, Brian L Chang, Valentinos Silvestros, Elisavet Constantinou, Costas Pitris, Panayiotis Kolios and Piet Van Mieghem

Mechanical power output during stretch–shortening cycles of rat medial gastrocnemius muscle: Influence of various muscle length trajectories pp. 1-23

Edwin D H M Reuvers, Huub Maas, Wendy Noort, Maarten F Bobbert and Dinant A Kistemaker

ERFMTDA: Predicting tsRNA–disease associations using an enhanced rotative factorization machine pp. 1-23

Wei Lan, Dong Wang, Wenyi Chen, Xuhua Yan, Qingfeng Chen, Shirui Pan and Yi Pan

The genetic code at the balance point of error and demand pp. 1-23

Yudam Seo, Tsvi Tlusty and Junghyo Jo

Evaluation of short-term multi-target respiratory forecasts over winter 2024-25 in England using sub-ensemble contribution analyses pp. 1-23

Jack Kennedy, William Ferguson, Owen Jones, Steven Riley, Thomas Ward, Maria L Tang and Jonathon Mellor

Simple birth-death-mutation models predict some—but not all—aspects of the experimental evolution of antibiotic resistance pp. 1-23

Elin Lilja, Rosalind J Allen and Bartlomiej Waclaw

Contrastive learning to fine-tune feature extraction models for the visual cortex pp. 1-37

Alex Mulrooney, Zhi Li and Austin J Brockmeier

Simulation and inference methods for non-Markovian stochastic reaction networks pp. 1-28

Thomas P Steele and David J Warne

Noisy models of the ventral stream reveal the impact of recurrence and learned representations on information processing timescales pp. 1-22

Sara Varetti, Sebastian Goldt and Eugenio Piasini

Mapping spatial colleague connectivity patterns from individual-level registry data to inform regional pandemic interventions pp. 1-22

PingPing Song, Sake J de Vlas, Tom Emery and Luc E Coffeng

The perils of omitting omissions when modeling evidence accumulation pp. 1-17

Xiamin Leng, Alexander Fengler, Amitai Shenhav and Michael J Frank

Assessing the validity and reliability of computational phenotyping of mood pp. 1-1

Pablo Carrillo, Marc Benhamou, Roeland Heerema, Jean Daunizeau, Mathias Pessiglione and Fabien Vinckier

Eleven quick tips for Biomedical Federated Learning pp. 1-11

Kyle Ellrott, Venkat S Malladi, Jean-Christophe Bélisle-Pipon, Emek Demir, Yael Bensoussan, Serghei Mangul, Alex A T Bui and Paul C Boutros

Ten quick tips for causal analysis of biomedical omics data pp. 1-11

Gleb Svinin, Rebecca Ting Jiin Loo, Nikhilesh Vasantha Kumar, Varsha Venkatesha Murthy, Dilara Uzuner Odongo, Ramón Díaz-Uriarte, Ana Conesa, Gianluca Bontempi, Susana Vinga, Ilaria Granata, Daniel Domingo-Fernández, Paola Lecca, Marieke L Kuijjer, Jesse H Krijthe, Ina Koch, Laurence Calzone, Simona Ester Rombo, Fátima Sánchez-Cabo and Enrico Glaab

Structure-aware deep learning enhances m6A prediction and reveals cell type-associated RNA structural signatures pp. 1-19

Mingze Sun, Di Zhang, Zhiyuan Li and Yihan Lin

Accurate de novo transcription unit annotation from run-on and sequencing data pp. 1-30

Paul R Munn, Jay Chia and Charles G Danko

IBAS: Interaction-bridged association studies discovering novel genes underlying complex traits pp. 1-30

Dinghao Wang, Pathum Kossinna, Karen Ardila, Senitha Kumarapeli, M Ethan MacDonald, Jingjing Wu and Qingrun Zhang

Improving the reliability of polygenic risk score-based prediction for cardiovascular and renal complications across ancestries in type 2 diabetes using Mondrian Cross-Conformal Prediction pp. 1-30

Edoh Kodji, Redha Attaoua, Mounsif Haloui, Camil Hishmih, Mirjam Seitz, Mark Woodward, Julie G Hussin, Pavel Hamet and Johanne Tremblay

Manifold-constrained plasticity enables stable learning in recurrent neural circuits pp. 1-30

Camille Godin and Jean-Philippe Thivierge

Volume 22, issue 7, 2026

NLCD: A method to discover nonlinear causal relations among genes pp. 1-30

Aravind Easwar and Manikandan Narayanan

SynAPSeg: A novel dataset and image analysis framework for deep learning-based synapse detection and quantification pp. 1-30

Pascal Schamber, Sahana Darbhamulla, Molly Boyer, Madison Pelletier, Helene Hartman, Olivia Friedman, Shiyu Zhang, Allison Blais, Seyun Oh, Haining Zhong and Alexei M Bygrave

Systems biology during 20 years of PLoS Computational Biology pp. 1-6

Mark Alber, Marc R Birtwistle, Stacey D Finley and Pedro Mendes

CellExLink: End-to-end cell-type recognition and normalization in biomedical text pp. 1-13

Alimire Nabijiang and Leili Shahriyari

Optimized phenotype definitions boost GWAS power pp. 1-17

Michael Zietz, Kathleen LaRow Brown, Undina Gisladottir and Nicholas P Tatonetti

Sleep slow oscillation emergence on the scalp as a renewal point process pp. 1-22

Mahmoud Alipour, Sara C Mednick and Paola Malerba

Quantifying the spatiotemporal mechanical dynamics of engineered cardiac microbundles pp. 1-40

Hiba Kobeissi, Samuel J DePalma, Javiera Jilberto, David Nordsletten, Brendon M Baker and Emma Lejeune

htrSPRanalysis: An open source R package for expedited analysis of high-throughput binding kinetics data pp. 1-14

Janice M McCarthy, Kan Li, Georgia D Tomaras and S Moses Dennison

TB-SERS analyzer: Analysis tool for tuberculosis prediction based on Raman spectroscopy with machine learning and convolutional neural network pp. 1-16

Jukgarin Eisiri, Chadatan Juntagran, Kanwara Trisakul, Benjawan Kaewseekhao, Noppadon Nuntawong, Chakchai So-In and Kiatichai Faksri

A cost-optimized 5-protein panel revolutionizes systemic lupus erythematosus diagnosis pp. 1-16

Wenhua Lv, Zhenwei Shang, Chen Sun, Yuping Zou, Siyu Wei, Haiyan Chen, Junxian Tao, Hongsheng Tian, Yu Dong, Chen Zhang, Mingming Zhang, Hongchao Lv and Yongshuai Jiang

Population sparseness determines strength of Hebbian plasticity for maximal memory lifetime in associative networks pp. 1-58

Naomi Auer, Lars Chen, Jakob Stubenrauch, Benjamin Lindner and Richard Kempter

Revealing dichotomous prior biases in social anxiety through a social prism model pp. 1-23

Yuxi Wang, Qianqian Ju, Renhe Jia, Minghao Yuan and Yujia Peng

Assessing scale and predictive diversity in models for single-cell transcriptomics based on Geneformer pp. 1-21

Junfan Chen, Fabian Schmidt and Ricardo Henao

Ergodicity transformations predict human decision-making under risk pp. 1-21

Benjamin Skjold, Simon Richard Steinkamp, Colm Connaughton, Oliver James Hulme and Ole Peters

HNPP: Higher-order network-based personalized PageRank for detecting critical phase in complex biological systems pp. 1-21

Jiayuan Zhong, Xuerong Gu, Dandan Ding, Qiao Wei, Bowen Niu, Ting Tao, Pei Chen and Rui Liu

Whisker stimulation reinforces a resting-state network in the barrel cortex: Nested oscillations and avalanches pp. 1-21

Benedetta Mariani, Ramón Guevara, Mattia Tambaro, Marta Maschietto, Alessandro Leparulo, Stefano Vassanelli and Samir Suweis

Quantitative modelling of P-TEFb mediated CTD phosphorylation identifies local cooperativity pp. 1-21

Aaron Callenbach, Domagoj Dorešić, Robert Düster, Vanessa Nakonecnij, Erika Dudkin, Matthias Geyer and Jan Hasenauer

Combining sampling and attractor dynamics in spiking models of head direction systems pp. 1-21

Vojko Pjanovic, Jacob A Zavatone-Veth, Paul Masset, Sander W Keemink and Michele Nardin

Application of a uniaxial force by pulling the skin around the mammary gland may affect the orientation of the ducts and the length of the mammary ductal network: Findings from computational modeling and laboratory experiments pp. 1-29

Daisy Ulloa, Kelsey M Teeple, Sara B Scinto, Wonders O Ogundare, Deloris D Franklin, Theresa M Casey and Uduak Z George

Panorama: A robust pangenome-based method for predicting and comparing biological systems across species pp. 1-25

Jérôme Arnoux, Jean Mainguy, Laura Bry, Quentin Fernandez de Grado, Yazid Hoblos, David Vallenet and Alexandra Calteau

Molecular surveillance of multiplicity of infection, haplotype frequencies, and prevalence in infectious diseases pp. 1-47

Henri Christian Junior Tsoungui Obama and Kristan Alexander Schneider

ClusterApp to visualize, organize, and navigate metabolomics data pp. 1-10

Vinicius Hansel Figueiredo da Costa, Pothuvilage Karunarathne, Tiago Cabral Borelli, Isabela Victorino da Silva Amatto, Matheus de Lima Ortega, Robert A Quinn and Ricardo R da Silva

Integrating multi-type features and knowledge graph for graded prediction of drug-induced liver injury in humans pp. 1-24

Ying Liu, Kaimiao Hu, Jie Geng, Qi Dai, Leyi Wei and Ran Su

Predictive coding explains asymmetric connectivity in the brain: A neural network study pp. 1-24

Romesa Khan, Hongsheng Zhong, Shuvam Das, Jack Cai and Matthias Niemeier

Analysis and design of disordered polypeptides with optimized sequence patterning properties pp. 1-24

Arjun Singh, Ali I Ukperaj, Gabriel F Porto and Gregory L Dignon

CPP2Vec: A representation learning approach for cell-penetrating peptides prediction pp. 1-26

Stavroula Svolou, Vasileios Konstantakos, Anastasia Krithara and Georgios Paliouras

Body surface potential driven personalisation of electrophysiological digital twins in hypertrophic cardiomyopathy pp. 1-26

Shambhavi Malik, Ludovica Cicci, Abdul Qayyum, Rahul Ghelani, Ji-jian Chow, Jagdeep Singh Mohal, Zachary I Whinnett, Amanda Varnava, Gernot Plank, Prapa Kanagaratnam and Steven A Niederer

Uncertainty-aware quantitative analysis of high-throughput live cell migration data pp. 1-31

Simo Kitanovski, Shannon Conroy, Justin Sonneck, Lukas Claas, Madeleine Dorsch, Sebastian Urban, Jianxu Chen, Markus Kaiser, Barbara M Grüner and Daniel Hoffmann

cpm: A python library for theory-driven modelling in computational psychiatry pp. 1-31

Lenard Dome, Frank H Hezemans, Kenza Kadri, Ben J Wagner, Andrew Webb and Tobias U Hauser

AgentBasedModeling.jl: A tool for stochastic simulation of structured population dynamics pp. 1-18

Paul Piho and Philipp Thomas

Mind the gap: An embedding guide to safely travel in sequence space pp. 1-27

Adam Wu, Jakub Lála, Quentin Trolliet, Abhinav Rajendran and Stefano Angioletti-Uberti

Volume 22, issue 6, 2026

Data-driven model reveals increased stability of CAG-expanded huntingtin RNA due to MID1 binding pp. 1-27

Yuhong Liu, Annika Reisbitzer, Domagoj Dorešić, Jan Hasenauer, Sybille Krauß and Tatjana Tchumatchenko

pyhgf: A neural network library for predictive coding pp. 1-18

Nicolas Legrand, Lilian Weber, Peter Thestrup Waade, Anna Hedvig Møller Daugaard, Mojtaba Khodadadi, Nace Mikuš and Christoph Mathys

CAdir: Joint clustering of cells and genes for single-cell transcriptomics with visualization-driven cluster quality assessment pp. 1-31

Clemens Kohl and Martin Vingron

Variable selection-combined causal mediation analysis for continuous treatments with application to large-dimensional biomedical data pp. 1-31

Yajing Zhou, Kecheng Wei, Yahang Liu, Zhaoyang Li, Chen Huang, Guoyou Qin and Yongfu Yu

On real-time calibrated prediction for complex model-based decision support in pandemics: Part 2 pp. 1-24

Trevelyan J McKinley, Daniel B Williamson, Xiaoyu Xiong, James M Salter, Robert Challen, Leon Danon, Ben Youngman and Doug McNeall

A multilevel hierarchical framework for quantification of experimental heterogeneity in population snapshot data pp. 1-24

David J Warne, Xiangrun Zhu, Thomas P Steele, Stuart T Johnston, Scott A Sisson, Matthew Faria, Ryan J Murphy and Alexander P Browning

MicroRNA target gene prediction model based on input-feature dependency and sample data expansion technique pp. 1-24

Yan Shao, Yazhou Li, Hexin Zhai and Shimin Dong

On the conditions for shifts in metabolic strategies pp. 1-24

Maarten J Droste, Robert Planqué and Frank J Bruggeman

Ten simple rules for turning your qualifying exam into an NIH-style fellowship proposal: A guide for graduate students pp. 1-10

Courtney Peña-Lima, Cameron S Bader, Brendan K Ball, Troy C Dildine, Mekhala V Dissanayake, Iris van ‘t Erve, Albina Ibrayeva, Amy Nippert, Quinn Mk, Chelse Spinner, Samuel Thompson, Antonio Tomasso and Crystal M Botham

Machine learning-driven identification of virulence determinants in Borrelia burgdorferi associated with human dissemination pp. 1-25

Hoa Thanh Nguyen and Catherine A Brissette

Neuronal excitability and parameter variability in the Hodgkin-Huxley model pp. 1-25

Alon Korngreen

Delayed reward information is underweighted in reinforcement learning with dispersed feedback pp. 1-25

Miruna Cotet, David Poensgen and Ian Krajbich

Predictive modeling in biology and medicine: Digital twins and multi-scale modeling pp. 1-5

Mark Alber, Amber Smith, Reinhard Laubenbacher and Roeland M H Merks

Evolution and the ultimatum game: An agent-based model with interbirth intervals and population structure pp. 1-35

Jeffrey C Schank and Matt L Miller

A novel biclustering algorithm for mining m6A co-methylation patterns based on beta-binomial distribution and data screening strategy pp. 1-34

Zhaoyang Liu, Yuteng Xiao, Dao Xiang, Hao Shi and Kaijian Xia

Ten simple rules for making the supplement increase your paper’s impact pp. 1-8

Volker Grimm, Uta Berger and Stefano Mammola

WormSORT: A detection-based multiple object tracking model for individual silkworms in breeding environments pp. 1-23

Hongkang Shi, Linbo Li, Shiping Zhu, Haibo He, Minghui Zhu and Jianfei Zhang

A new method for augmenting short time series, with application to pain events in sickle cell disease pp. 1-15

Kumar Utkarsh, Nirmish R Shah, Tanvi Banerjee and Daniel M Abrams

GrassSV – hybrid method to detect structural variants in high throughput DNA-seq data pp. 1-14

Dominik Witczak, Krzysztof Sychla, Julia Wysocka, Artur Laskowski, Wojciech Frohmberg, Marta Glowacka, Alicja Dzik, Piotr Lukasiak, Jacek Blazewicz and Aleksandra Swiercz

Challenges and progress in RNA velocity: Comparative analysis across multiple biological contexts pp. 1-20

Sarah Ancheta, Leah Dorman, Guillaume Le Treut, Abel Gurung, Greg Huber, Loïc A Royer, Alejandro Granados and Merlin Lange

Beyond the canonical: The role of post-transcriptional regulation in drug-target interaction prediction pp. 1-20

Md Istiaq Ansari, Khandakar Tanvir Ahmed, Debby D Wang, Kirill Medvedev and Wei Zhang

scMagnifier: Resolving fine-grained cell subtypes via GRN-informed perturbations and consensus clustering pp. 1-22

Zhenhui He and Dong Kangning

Heuristic multi-site optimization for protein sequence design using Masked Protein Language Models pp. 1-22

Lijuan Wang, Yuze Wang, Chen Qiu, Liwei Xiao, Xianliang Liu and Junjie Chen

Cell-type resolved transcriptional network analysis of in vivo cellular senescence following injury pp. 1-22

Alda Sabalic, Victoria Moiseeva, Andres Cisneros, Oleg Deryagin, Eusebio Perdiguero, Pura Muñoz-Cánoves and Jordi Garcia-Ojalvo

A mean-field model of neural networks with PV and SOM interneurons reveals connectivity-based mechanisms of gamma oscillations pp. 1-28

Farzin Tahvili, Martin Vinck and Matteo Di Volo

GHF-ACL: A novel contrastive learning framework with multi-order graph structures for herb-disease association prediction pp. 1-28

Yunmeng Zhang, Xiuhong Wu, Qiutong Wang, Lin Shi, Meiling Liu and Guohua Wang

Predicting continuous outcomes: Some new tests of associative approaches to contingency learning pp. 1-1

Julie Y L Chow, Hilary J Don, Ben Colagiuri and Evan J Livesey

CoDaLoMic: An R package for modeling microbiome compositional and longitudinal data pp. 1-17

Irene Creus-Martí, Andrés Moya and Francisco J Santonja

Heterogeneous suppressive effect of Wolbachia incompatible insect technique coupled with sterile insect technique across time and historical Ae. aegypti abundance - using distributional synthetic controls pp. 1-17

Yichen Zhai, Chia-Chen Chang, Zhiyong Xi, Cheong Huat Tan, Lee Ching Ng and Jue Tao Lim

Histology-informed spatial domain identification through multi-view graph convolutional networks pp. 1-19

Huihui Zhang, Jiaxing Chang, Zirong Li, Yue Sun, Pinli Hu, Haoxiu Wang, Hang Yang, Yonglin Ren, Xingtan Zhang, Zehua Chen, Kok Wai Wong and Haojing Shao

PepAnno: A structure-aware deep learning framework for bioactive peptide prediction, structural visualization, and physicochemical profiling pp. 1-19

Enyan Liu, Yueming Hu, Liya Liu, Yifan Chen, Shilong Zhang, Sida Li, Haoyu Chao, Luyao Xie, Yi Shen, Liangwei Wu, Julio Raúl Fernández Massó and Ming Chen

Volume 22, issue 5, 2026

Distilling noise characteristics and prior expectations in multisensory causal inference pp. 1-46

Shuze Liu, Trevor Holland, Wei Ji Ma and Luigi Acerbi

Dynamics of trachoma infection in West Africa revealed by a hidden state model pp. 1-18

Jake Carson, Thomas Crellen, Anna Borlase, Joaquin M Prada, Robin Bailey, T Déirdre Hollingsworth and Simon E F Spencer

Efficient sequential Bayesian inference for state-space epidemic models using ensemble data assimilation pp. 1-24

Dhorasso Temfack and Jason Wyse

Structural and dynamic basis of NOD2 tandem CARD association and NOD1/2–RIP2 signaling complexes pp. 1-24

Jitendra Maharana, Aritra Bej, Debasish Biswal, Debashis Panda and Arjun Sharma

Functional group classification using consensus clustering pp. 1-25

Pablo Ubilla Pavez, Andrea Paz and Daniel S Maynard

scHG: A supercell framework with high-order graph learning enables scalable multi-omics analysis pp. 1-36

Yixiang Huang, Yuan Gan and Xinqi Gong

Hierarchical recurrent temporal prediction as a model of the mammalian dorsal visual pathway pp. 1-29

Sebastian Klavinskis-Whiting, Andrew J King and Nicol S Harper

Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach pp. 1-34

Debendra Muduli, Santosh Kumar Sharma, Sujata Dash, Bernardo Lemos and Saurav Mallik

Exploring epidemic control policies using nonlinear programming and mathematical models pp. 1-21

Sandra Montes-Olivas, Adam J Kucharski, Michael B Gravenor and Simon DW Frost

Decoupling between activation time and steady-state level in input-output responses pp. 1-37

Giorgio Ravanelli, Kee-Myoung Nam, Jeremy Gunawardena and Rosa Martinez-Corral

DREAMER-S: Deep leaRning-Enabled Attention-based Multiple-instance approaches with Explainable Representations for Spatial biology pp. 1-23

M Rifqi Rafsanjani, Alison Dooney, Rahul Suresh, Alice C O’Farrell, Monika A Jarzabek, Liam Shiels, Annette T Byrne, Jochen H M Prehn and Aidan D Meade

Extremal events dictate population growth rate inference pp. 1-23

Trevor GrandPre, Ethan Levien and Ariel Amir

Energy transfer leaves fingerprints in cyanine photoswitching behavior pp. 1-15

Vincent Ebert, Markus Sauer and Sören Doose

LSTM-attention-guided graph neural networks for integrated genotype–Environment modeling in maize yield prediction pp. 1-20

Amir Morshedian and Mike Domaratzki

A simple model captures key characteristics of biological non-deterministic genotype-phenotype maps pp. 1-20

Nora S Martin

Trial-level sequence modeling reveals hidden dynamics of dual-task interference pp. 1-16

Rick den Otter, Anna Dame, Sjoerd Stuit and Leendert van Maanen

Evaluating place cell detection methods in Rats and Humans: Implications for cross-species spatial coding pp. 1-28

Weijia Zhang, Thomas Donoghue, Salman E Qasim and Joshua Jacobs

Single-cell data integration across weakly linked modalities pp. 1-28

Zhipeng Zhou, Yang Zhang and Zhiming Dai

RNAprecis: Prediction of full-detail RNA conformation from the experimentally best-observed sparse parameters pp. 1-28

Henrik Wiechers, Christopher J Williams, Benjamin Eltzner, Franziska Hoppe, Michael G Prisant, Vincent B Chen, Ezra Miller, Kanti V Mardia, Jane S Richardson and Stephan F Huckemann

FoMo: A unifying theory of visual foraging pp. 1-28

Alasdair D F Clarke and Anna E Hughes

PowerNovo2: A generative flow-based approach to non-autoregressive de novo peptide sequencing pp. 1-28

Denis V Petrovskiy, Kirill S Nikolsky, Vladimir R Rudnev, Liudmila I Kulikova, Tatiana V Butkova, Kristina A Malsagova, Arthur T Kopylov and Anna L Kaysheva

MIAAIM: Multi-omics image integration with dimensional reduction for tissue state mapping pp. 1-1

Joshua M Hess, Richard K Dzeng, Iulian Ilieş, Denis Schapiro, John J Iskra, Divya Mirgh, John Nam, Erin H Seeley, David E Verrill, Walid M Abdelmoula, Michael S Regan, Georgios Theocharidis, Chin Lee Wu, Aristidis Veves, Nathalie Y R Agar, Ann E Sluder, Mark C Poznansky, Ruxandra F Sîrbulescu and Patrick M Reeves

Ten simple rules for an effective mentor–mentee writing partnership pp. 1-13

Kristina Quynn, Megan J Hemmerlein, Alexandra H Keene-Snickers, Sarah M Howard, Mark D Stenglein, Kathryn Wilsterman and Carol J Wilusz

Limited ‘heft’ of weight-based outcomes in predicting influenza A virus disease severity in ferrets pp. 1-19

Troy J Kieran, Taronna R Maines and Jessica A Belser

Network structure induced bias in estimates of intrinsic generation times pp. 1-19

Pratyush K Kollepara, Chiara Poletto and Joel C Miller

Fast and interpretable quantification of biological shape heterogeneity via stratified Wasserstein kernel pp. 1-19

Wenjun Zhao, Danica J Sutherland and Khanh Dao Duc

Multiplex networks-based directed graph neural network for cancer driver gene identification pp. 1-19

Pingting Li and Minzhu Xie

Fully synthetic replication of complex real biological cell clusters using a novel cluster-based ‘Rosetta-Routine’ computational modelling process pp. 1-30

Bradley Mason, Laura Justham, Liam Whitby, Alison Whitby, Stuart Scott, Samuel Nti and Jon Petzing

Volume 22, issue 4, 2026

Rural-to-urban migrant worker mobility shaped measles epidemics in China pp. 1-19

Peihua Wang, Xianwen Wang, Wenyi Zhang, Yong Wang, Sen Pei, Xiao-Ke Xu and Wan Yang

Exploring neural manifolds across a wide range of intrinsic dimensions pp. 1-28

Jacopo Fadanni, Rosalba Pacelli, Alberto Zucchetta, Pietro Rotondo and Michele Allegra

Evaluating the utility of amino acid similarity-aware kmers to represent TCR repertoires for classification pp. 1-28

Hannah Kockelbergh, Shelley C Evans, Liam Brierley, Peter L Green, Andrea L Jorgensen, Elizabeth J Soilleux and Anna Fowler

A framework for constructing insect steering circuits pp. 1-22

Robert Mitchell and Barbara Webb

Multidimensional scaling informed by F-statistic: Visualizing grouped microbiome data with inference pp. 1-22

Hyungseok Kim, Soobin Kim, Jeffrey A Kimbrel, Megan M Morris, Xavier Mayali and Cullen R Buie

A Bayesian modelling framework for estimating tick-borne pathogen transmission dynamics at the host-tick interface pp. 1-22

Younjung Kim, Bruno Faivre, Thierry Boulinier, Célia Sineau, Clémence Galon, Sara Moutailler, Laure Bournez and Raphaëlle Métras

Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning for biological systems pp. 1-22

Maria-Veronica Ciocanel, John T Nardini, Kevin B Flores, Erica M Rutter, Suzanne S Sindi and Alexandria Volkening

Ensemble forecasts of COVID-19 activity to support Australia’s pandemic response: 2020–22 pp. 1-22

Robert Moss, Ruarai J Tobin, Mitchell O’Hara-Wild, Adeshina I Adekunle, Dennis Liu, Tobin South, Dylan J Morris, Gerard E Ryan, Tianxiao Hao, Aarathy Babu, Katharine L Senior, James G Wood, Nick Golding, Joshua V Ross, Peter Dawson, Rob Hyndman, David J Price, James M McCaw and Freya M Shearer

Evolutionary Kuramoto dynamics unravels origins of chimera states in neural populations pp. 1-22

Thomas Zdyrski, Scott Pauls and Feng Fu

A multi-omics framework for survival mediation analysis of high-dimensional proteogenomic data pp. 1-17

Seungjun Ahn, Weijia Fu, Maaike van Gerwen, Lei Liu and Zhigang Li

Explaining attractive and repulsive biases in the subjective visual vertical pp. 1-1

Stefan Glasauer and W Pieter Medendorp

Semi-parametric empirical bayes method for multiplet detection in snATAC-seq with probabilistic multi-omic integration pp. 1-16

Yuntian Wu, Haoran Hu, Wei Chen, Johann E Gudjonsson, Lam C Tsoi and Xiaoquan Wen

STARCall integrates image stitching, alignment, and read calling to enable scalable analysis of in situ sequencing data pp. 1-20

Nicholas J Bradley, Sriram Pendyala, Katie Partington and Douglas M Fowler

Clustering single-cell multi-omics data via weighted distance penalty and adaptive consistent graph regularization pp. 1-20

Wei Zhang, Yue Yu, Xiaoying Zheng, Juan Shen and Yuanyuan Li

Efficiency, accuracy and robustness of probability generating function based parameter inference method for stochastic biochemical reactions pp. 1-20

Shiyue Li, Yiling Wang, Zhanpeng Shu, Ramon Grima, Qingchao Jiang and Zhixing Cao

Forecastability of infectious disease time series: are some seasons and pathogens intrinsically more difficult to forecast? pp. 1-21

Lauren A White and Tomás M León

Sharing the spotlight: Uncovering common attentional dynamics across species pp. 1-21

Mina Glukhova, Alejandro Tlaie, Robert Taylor, Pierre-Antoine Ferracci, Katharine Shapcott, Berkutay Mert, Olga Arne, Andrei Ciuparu, Raul C Muresan, Martha N Havenith and Marieke L Schölvinck

Coherent cross-modal generation of synthetic biomedical data to advance multimodal precision medicine pp. 1-23

Raffaele Marchesi, Nicolò Lazzaro, Walter Endrizzi, Gianluca Leonardi, Matteo Pozzi, Flavio Ragni, Stefano Bovo, Monica Moroni, Venet Osmani and Giuseppe Jurman

Leveraging mathematical models to predict and control T-cell activation pp. 1-23

Xabier Rey Barreiro, Jose Faro and Alejandro F Villaverde

Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach pp. 1-23

Matthew Herbert Ning, Haoqi Sun, Brice Passera, Duygu Bagci Das, Brandon Westover, Alvaro Pascual-Leone, Emiliano Santarnecchi, Mouhsin M Shafi and Recep A Ozdemir

Learning the bistable cortical dynamics of the sleep-onset period pp. 1-23

Zhenxing Hu, Manaoj Aravind, Xu Lei, J Nathan Kutz and Jean-Julien Aucouturier

Ten simple rules for postdoctoral mums to stay competitive in academia pp. 1-8

Belén Fadrique and Selene Báez

Ten simple rules for organising an effective student-led writing retreat pp. 1-9

Nicholas W Daudt, Claudia Hird, Eleanor R M Kelly, Elli E Leinikki, Gretchen J McCarthy, Ian S Dixon-Anderson, Jackson E Beagley, Jessica B Moffitt, Joseph S Curtis, Lindsay M Wickman, Meghan L Duffy, Preston L Maluafiti, Saskia E Foreman, William Carome and Leah M Crowe

Developmental and aging changes in brain network switching dynamics revealed by EEG phase synchronization pp. 1-26

Dionysios Perdikis, Rita Sleimen-Malkoun, Viktor Müller and Viktor Jirsa

Unveiling gene perturbation effects through gene regulatory networks inference from single-cell transcriptomic data pp. 1-39

Clelia Corridori, Merrit Romeike, Giorgio Nicoletti, Christa Buecker, Samir Suweis, Sandro Azaele and Graziano Martello

Ten common mistakes that could ruin your enrichment analysis pp. 1-10

Anusuiya Bora, Matthew McKenzie and Mark Ziemann

How muscle ageing affects rapid goal-directed movement: mechanistic insights from a simple model pp. 1-24

Delyle T Polet and Christopher T Richards

One model to rule them all: Unification of voltage-gated potassium channel models via deep non-linear mixed effects modelling pp. 1-33

Domas Linkevicius, Angus Chadwick, Melanie I Stefan and David C Sterratt

Volume 22, issue 3, 2026

iSTTC: A robust method for accurate estimation of intrinsic neural timescales from single-unit recordings pp. 1-30

Irina Pochinok, Ileana L Hanganu-Opatz and Mattia Chini

ConNIS and labeling instability: New statistical methods for improving the detection of essential genes in TraDIS libraries pp. 1-19

Moritz Hanke, Theresa Harten and Ronja Foraita

PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction pp. 1-19

Ke Yan, Meijing Li, Shutao Chen, Tianyi Liu, Jing Hao, Bin Liu and Zhen Li

Online tutorial on survival analysis for biomarker discovery pp. 1-11

Jaka Kokošar, Ela Praznik, Martin Špendl, Nancy P Moreno, Alana Newell, Gad Shaulsky and Blaž Zupan

Bayesian-calibrated global sensitivity analysis for mathematical models using generative AI pp. 1-28

Xuyuan Wang

Fast and accessible morphology-free functional fluorescence imaging analysis pp. 1-22

Alejandro Estrada Berlanga, Gabrielle Y Kang, Amanda Kwok, Thomas Broggini, Jennifer Lawlor, Kishore V Kuchibhotla, David Kleinfeld, Gal Mishne and Adam S Charles

Large-scale paired chain BCR analysis reveals antibody clonal family inference bias and enhances resolution with machine learning pp. 1-22

Hao Wang, Kaixuan Wang, Qihang Xu, Linru Cai, Chuanxiang Huang, Linlin Chen, Yunliang Zang, Xihao Hu and Jian Zhang

Epistasis mediates the role of negative frequency-dependent selection in bacterial strain structure pp. 1-22

Martin Guillemet and Sonja Lehtinen

Predicting viral sensitivity to antibodies using genetic sequences and antibody similarities pp. 1-22

Kai S Shimagaki, Gargi Kher, Rebecca M Lynch and John P Barton

Free energy perturbations in enzyme kinetic models reveal cryptic epistasis pp. 1-16

Karol Buda and Nobuhiko Tokuriki

Contextual inference through flexible integration of environmental features and behavioural outcomes pp. 1-42

Jessica Passlack and Andrew F MacAskill

Functional bottlenecks can emerge from non-epistatic underlying traits pp. 1-20

Anna Ottavia Schulte, Samar Alqatari, Saverio Rossi and Francesco Zamponi

Zero-shot prediction of drug responses using biologically informed neural networks trained on phosphoproteomic timeseries pp. 1-20

Konstantinos Antonopoulos, Olof Nordenstorm and Avlant Nilsson

Benchmarking spike source localization algorithms in high density probes pp. 1-14

Hao Zhao, Xinhe Zhang, Arnau Marin-Llobet, Xinyi Lin and Jia Liu

napariTFM: An open-source tool for traction force microscopy and monolayer stress microscopy pp. 1-15

Artur Ruppel, Dennis Wörthmüller, Martial Balland and François Fagotto

MoCETSE: A mixture-of-convolutional experts and transformer-based model for predicting Gram-negative bacterial secreted effectors pp. 1-23

Hua Shi, Yihang Lin, Dachen Liu and Quan Zou

Overcoming extrapolation challenges of deep learning by incorporating physics in protein sequence-function modeling pp. 1-23

Shrishti Barethiya, Jian Huang, Clarice Stumpf, Xiao Liu, Hui Guan and Jianhan Chen

Multi-ACPNet: A multi-scale sequence-structure feature fusion framework for anticancer peptide identification and functional prediction pp. 1-23

Lu Meng and Lijun Zhou

D-LIM: A neural network for interpretable gene–gene interactions pp. 1-23

Shuhui Wang, Alexandre Allauzen, Philippe Nghe and Vaitea Opuu

From noise to models to numbers: Evaluating negative binomial models and parameter estimations in single-cell RNA-seq pp. 1-37

Yiling Wang, Zhanpeng Shu, Zhixing Cao and Ramon Grima

An approximate-copula distribution for statistical modeling pp. 1-21

Sarah S Ji, Benjamin B Chu, Hua Zhou and Kenneth Lange

Sub-national modelling of surveillance sensitivity to inform declaration of disease elimination: A retrospective validation against the elimination of wild poliovirus in Nigeria pp. 1-21

Emily S Nightingale, Ly Pham-Minh, Isah Mohammed Bello, Samuel Okrior, Tesfaye Bedada Erbeto, Marycelin Baba, Adekunle Adeneji, Megan Auzenbergs, W John Edmunds and Kathleen M O’Reilly

Assessing the impact of climate and control interventions on spatio-temporal malaria dynamics using a stochastic metapopulation model pp. 1-21

Alexandros Angelakis, Anton Beloconi, Bryan O Nyawanda, Sammy Khagayi, Simon Kariuki, Stephen Munga, Patrick K Munywoki, Godfrey Bigogo and Penelope Vounatsou

Separating random and deterministic sources of computational noise in explore-exploit decisions pp. 1-21

Siyu Wang and Robert C Wilson

Assessment of dispersion metrics for estimating single-cell transcriptional variability pp. 1-21

Tina Chen, Laurie A Boyer and Divyansh Agarwal

Mechanism of Hsp70 activation: How J-domain proteins push for ATP hydrolysis pp. 1-21

Michał Olewniczak, Marcin Pitek, Jacek Czub, Jaroslaw Marszalek, Łukasz Nierzwicki and Bartlomiej Tomiczek

Multi-omics and network pharmacology identify IGFBP1 as an m6A-Epigenetic target of pueraria in NSCLC therapy pp. 1-29

Rui Li, Dong-Mei Hu, Yong-Li Liu, Wei Zhao, Yu-Xin Zhang and Yi-Qing Qu

Enhancing anticancer peptide discovery: A fusion-centric framework with conditional diffusion for prediction and generation pp. 1-29

Binyu Li, Xin Zhang, Zhihua Huang, Prayag Tiwari, Quan Zou, Yijie Ding and Xiaoyi Guo

WEPP: Phylogenetic placement achieves near-haplotype resolution in wastewater-based epidemiology pp. 1-29

Pranav Gangwar, Pratik Katte, Manu Bhat and Yatish Turakhia

Metacognitive efficiency in learned value-based choice pp. 1-26

Sara Ershadmanesh, Ali Gholamzadeh, Kobe Desender and Peter Dayan

Approximate Bayesian inference of directed acyclic graphs in biology with flexible priors on edge states pp. 1-24

Evan A Martin, Venkata Patchigolla and Audrey Qiuyan Fu

A reinforcement learning and sequential sampling model constrained by gaze data pp. 1-24

William M Hayes and Melanie J Touchard

Inverse game theory characterizes frequency-dependent selection driven by karyotypic diversity in triple negative breast cancer pp. 1-18

Thomas Veith, Richard J Beck, Joel S Brown and Noemi Andor

Morphological determinants of glycosylation efficiency in Golgi cisternae pp. 1-18

Christopher K Revell, Martin Lowe, Nicola L Stevenson and Oliver E Jensen

Towards model-based characterization of individual electrically stimulated nerve fibers pp. 1-27

Rebecca C Felsheim, David J Sly, Stephen J O’Leary and Mathias Dietz

Volume 22, issue 2, 2026

CA-CAE: A deep learning-based multi-omics model for pan-cancer subtype classification and prognosis prediction pp. 1-24

Shumei Zhang, Yicheng Lu, Peixian Li, Junxuan Wu, Guohua Wang and Wen Yang

Paraplume: A fast and accurate antibody paratope prediction method provides insights into repertoire-scale binding dynamics pp. 1-25

Gabriel Athènes, Adam Woolfe, Thierry Mora and Aleksandra M Walczak

Putting BASIL in a BLT: A Bayesian filtering method for estimating the fitness effects of nascent adaptive mutations pp. 1-27

Huan-Yu Kuo and Sergey Kryazhimskiy

Information theoretic measures of neural and behavioural coupling predict representational drift pp. 1-18

Kristine Heiney, Mónika Józsa, Michael E Rule, Henning Sprekeler, Stefano Nichele and Timothy O’Leary

Cluster dispersal shapes microbial diversity during community assembly pp. 1-18

Loïc Marrec and Sonja Lehtinen

PON-Del predictor for sequence retaining protein deletions pp. 1-18

Haoyang Zhang, Muhammad Kabir and Mauno Vihinen

Degradation graphs reveal hidden proteolytic activity in peptidomes pp. 1-21

Erik Hartman, Johan Malmström and Jonas Wallin

Information uncertainty influences learning strategy from sequentially delayed rewards pp. 1-23

Sean R Maulhardt, Alec Solway and Caroline J Charpentier

Start small: A model for tissue-wide planar cell polarity without morphogens pp. 1-29

Abhisha Thayambath and Julio M Belmonte

FKSUDDAPre: A drug–disease association prediction framework based on F-TEST feature selection and AMDKSU resampling with interpretability analysis pp. 1-29

Yun Zuo, Chenyi Zhang, Ge Hua, Qiao Ning, Xiangrong Liu, Xiangxiang Zeng and Zhaohong Deng

A 2D Gabor-wavelet baseline model out-performs a 3D surface model in scene-responsive cortex pp. 1-22

Anna Shafer-Skelton, Timothy F Brady and John T Serences

Efficient Gaussian process-based motor hotspot hunting with concurrent optimization of TMS coil location and orientation pp. 1-17

David Luis Schultheiss, Zsolt Turi, Joschka Boedecker and Andreas Vlachos

Controllable protein design via autoregressive direct coupling analysis conditioned on principal components pp. 1-17

Francesco Caredda, Lisa Gennai, Paolo De Los Rios and Andrea Pagnani

Learning genetic perturbation effects with variational causal inference pp. 1-15

Emily Liu, Jiaqi Zhang and Caroline Uhler

SpaLSTF: Diffusion-based generative model with BiLSTM and XCA-Transformer for spatial transcriptomics imputation pp. 1-20

Lin Yuan, Yufeng Jiang, Boyuan Meng, Qingxiang Wang, Cuihong Wang and Huang De-Shuang

SHADE: A multilevel Bayesian framework for modeling directional spatial interactions in tissue microenvironments pp. 1-16

Joel Eliason, Michele Peruzzi and Arvind Rao

Introducing gold-standard essential gene datasets for Pseudomonas aeruginosa to enhance Tn-Seq analyses pp. 1-19

Cléophée Van Maele, Ségolène Caboche, Nathan Nicolau-Guillaumet, Anaëlle Muggeo and Thomas Guillard

A framework for evaluating predicted sperm trajectories in crowded microscopy videos pp. 1-19

David Hart, Kylie Cashwell, Anita Bhandari, Jayath Premasinghe and Cameron Schmidt

A comparative study of statistical methods for identifying differentially expressed genes in spatial transcriptomics pp. 1-19

Yishan Wang, Chenxuan Zang, Ziyi Li, Charles C Guo, Dejian Lai and Peng Wei

Coevolutionary dynamics of cooperation, risk, and cost in collective risk games pp. 1-13

Lichen Wang, Shijia Hua, Yuyuan Liu, Liang Zhang, Linjie Liu and Attila Szolnoki

A theory for self-sustained balanced states in absence of strong external currents pp. 1-38

David Angulo-Garcia and Alessandro Torcini

Volume 22, issue 1, 2026

Persistence diagrams as morphological signatures of cells: A method to measure and compare cells within a population pp. 1-32

Yossi Bokor Bleile, Pooja Yadav, Patrice Koehl and Florian Rehfeldt

Peak strain dispersion as a nonlinear mediator in HFpEF: Unraveling subtype-specific pathways via SHAP-augmented ensemble modeling pp. 1-15

Mingming Lin, Kai Li, Xiaofan Wang, Juanjuan Sun, Kun Gong, Zhibin Wang and Pin Sun

ShapeSpaceExplorer: Analysis of morphological transitions in migrating cells using similarity-based shape space mapping pp. 1-16

Samuel D R Jefferyes, Roswitha Gostner, Laura Cooper, Mohammed M Abdelsamea, Elly Straube, Nasir Rajpoot, David B A Epstein and Anne Straube

Exosome-mediated chemotaxis optimizes leader-follower cell migration pp. 1-14

Louis González and Andrew Mugler

Integrative analysis across metagenomic taxonomic classifiers: A case study of the gut microbiome in aging and longevity in the Integrative Longevity Omics Study pp. 1-20

Tanya T Karagiannis, Ye Chen, Sarah Bald, Albert Tai, Eric R Reed, Sofiya Milman, Stacy L Andersen, Thomas T Perls, Daniel Segrè, Paola Sebastiani and Meghan I Short

Measuring real-time disease transmissibility with temperature-dependent generation intervals pp. 1-17

Esther Li Wen Choo, Kris V Parag, Jo Yi Chow and Jue Tao Lim

Higher-level spatial prediction in natural vision across mouse visual cortex pp. 1-21

Micha Heilbron and Floris P de Lange

CoFormerSurv: Collaborative transformer for multi-omics survival analysis pp. 1-21

Gang Wen and Limin Li

PlasticEnz: An integrated database and screening tool combining homology and machine learning to identify plastic-degrading enzymes in meta-omics datasets pp. 1-21

Anna Krzynowek, Jasper Snoeks and Karoline Faust

DSCA-HLAII: A dual-stream cross-attention model for predicting peptide–HLA class II interaction and presentation pp. 1-23

Ke Yan, Hongjun Yu, Shutao Chen, Alexey K Shaytan, Bin Liu and Youyu Wang

Powerful large scale inference in high dimensional mediation analysis pp. 1-23

Asmita Roy and Xianyang Zhang

Linking brain and behavior states in Zebrafish Larvae locomotion using hidden Markov models pp. 1-27

Mattéo Dommanget-Kott, Jorge Fernandez- de-Cossio-Diaz, Monica Coraggioso, Volker Bormuth, Rémi Monasson, Georges Debrégeas and Simona Cocco

Spatial variation in socio-economic vulnerability to Influenza-like Infection for the US population pp. 1-18

Shrabani S Tripathy, Joseph V Puthussery, Taveen S Kapoor, John R Cirrito and Rajan K Chakrabarty

Hierarchical analysis of RNA secondary structures with pseudoknots based on sections pp. 1-18

Ryota Masuki, Donn Liew and Ee Hou Yong

Network models for bridging denoising and identifying spatial domains of spatially resolved transcriptomics pp. 1-26

Haiyue Wang, Wensheng Zhang, Zaiyi Liu and Xiaoke Ma

Compaction of chromatin domains regulates target search times of proteins pp. 1-25

Shuvadip Dutta, Adarshkrishnan Rajakumar, Ranjith Padinhateeri and Mithun K Mitra

Novel artificial selection method improves function of simulated microbial communities pp. 1-25

Björn Vessman, Pablo Guridi-Fernández, Flor Inés Arias-Sánchez and Sara Mitri