PLOS Computational Biology
2005 - 2025
From Public Library of Science Bibliographic data for series maintained by ploscompbiol (). Access Statistics for this journal.
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Volume 21, issue 7, 2025
- Ten simple rules for thriving in a post-baccalaureate research program pp. 1-14

- Michaelle E DiMaggio-Potter, Angelica Velosa, John C Brent Iv, Osmar Del Rio, Eyerusalem F Abebaw, Fernando Aguilar-Ortega, Dante Rogers, Patrick E Rothwell and Angeline J Dukes
- Identifying predictors and assessing causal effect on hypertension risk among adults using Double Machine Learning models: Insights from Bangladesh Demographic and Health Survey pp. 1-22

- Probir Kumar Ghosh, Md Aminul Islam, Md Ahshanul Haque, Md Tariqujjaman, Novel Chandra Das, Mohammad Ali, Md Rasel Uddin and Md Golam Dostogir Harun
Volume 21, issue 6, 2025
- Fusing multisensory signals across channels and time pp. 1-16

- Swathi Anil, Dan F M Goodman and Marcus Ghosh
- Indirect punishment can outperform direct punishment in promoting cooperation in structured populations pp. 1-13

- Yujia Wen, Zhixue He, Chen Shen and Jun Tanimoto
- Nonequilibrium brain dynamics elicited as the origin of perturbative complexity pp. 1-19

- Wiep Stikvoort, Eider Pérez-Ordoyo, Iván Mindlin, Anira Escrichs, Jacobo D Sitt, Morten L Kringelbach, Gustavo Deco and Yonatan Sanz Perl
- Uncovering the impact of randomness in HIV hotspot formation: A mathematical modeling study pp. 1-19

- Nao Yamamoto, Daniel T Citron, Samuel M Mwalili, Duncan K Gathungu, Diego F Cuadros and Anna Bershteyn
- Resolving the conformational ensemble of a membrane protein by integrating small-angle scattering with AlphaFold pp. 1-19

- Samuel Eriksson Lidbrink, Rebecca J Howard, Nandan Haloi and Erik Lindahl
- Uncertainty-aware traction force microscopy pp. 1-32

- Adithan Kandasamy, Yi-Ting Yeh, Ricardo Serrano, Mark Mercola and Juan C del Alamo
- Ten simple rules for effectively assessing lab environments pp. 1-8

- Kristen M Naegle, Jeffrey J Saucerman, Julie Leonard-Duke, Michael Rariden and Yonathan Tamrat Aberra
- A mathematical model suggests collectivity and inconstancy enhance the efficiency of neuronal migration in the adult brain pp. 1-26

- Daiki Wakita, Yuriko Sobu, Naoko Kaneko and Takeshi Kano
- The role of learned song in the evolution and speciation of Eastern and Spotted towhees pp. 1-26

- Ximena León Du’Mottuchi and Nicole Creanza
- Predicting Affinity Through Homology (PATH): Interpretable binding affinity prediction with persistent homology pp. 1-26

- Yuxi Long and Bruce R Donald
- Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncology pp. 1-23

- Hakim Benkirane, Maria Vakalopoulou, David Planchard, Julien Adam, Ken Olaussen, Stefan Michiels and Paul-Henry Cournède
- Computations that sustain neural feature selectivity across processing stages pp. 1-23

- Ryan J Rowekamp and Tatyana O Sharpee
- Energy optimization induces predictive-coding properties in a multi-compartment spiking neural network model pp. 1-23

- Mingfang Zhang, Raluca Chitic and Sander M Bohté
- GABAergic neurons can facilitate the propagation of cortical spreading depolarization: experiments in mouse neocortical slices and a novel neural field computational model pp. 1-22

- Emre Baspinar, Martina Simonti, Hadi Srour, Mathieu Desroches, Daniele Avitabile and Massimo Mantegazza
- MVHGCN: Predicting circRNA-disease associations with multi-view heterogeneous graph convolutional neural networks pp. 1-20

- Yan Miao, Xuan Tang, Chunyu Wang, Zhenyuan Sun, Guohua Wang and Shan Huang
- OrgaCCC: Orthogonal graph autoencoders for constructing cell-cell communication networks on spatial transcriptomics data pp. 1-29

- Xixuan Feng, Shuqin Zhang and Limin Li
- Computing generalized cophenetic distances under all Lp norms: A near-linear time algorithmic framework pp. 1-21

- Paweł Górecki, Alexey Markin, Sriram Vijendran and Oliver Eulenstein
- Designing diverse and high-performance proteins with a large language model in the loop pp. 1-21

- Carlos A Gomez-Uribe, Japheth Gado and Meiirbek Islamov
- Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model pp. 1-21

- Alexander P Browning, Rebecca M Crossley, Chiara Villa, Philip K Maini, Adrianne L Jenner, Tyler Cassidy and Sara Hamis
- Stochastic gene expression in proliferating cells: Differing noise intensity in single-cell and population perspectives pp. 1-24

- Zhanhao Zhang, Iryna Zabaikina, Cesar Nieto, Zahra Vahdat, Pavol Bokes and Abhyudai Singh
- Variance in C. elegans gut bacterial load suggests complex host-microbe dynamics pp. 1-28

- Satya Spandana Boddu, K Michael Martini, Ilya Nemenman and Nic M Vega
- Impact of symmetry in local learning rules on predictive neural representations and generalization in spatial navigation pp. 1-37

- Janis Keck, Caswell Barry, Christian F Doeller and Jürgen Jost
- Synthetic method of analogues for emerging infectious disease forecasting pp. 1-17

- Alexander C Murph, G Casey Gibson, Elizabeth B Amona, Lauren J Beesley, Lauren A Castro, Sara Y Del Valle and Dave Osthus
- Predicting neuronal firing from calcium imaging using a control theoretic approach pp. 1-18

- Nicholas A Rondoni, Fan Lu, Daniel B Turner-Evans and Marcella Gomez
- Features influencing the health and economic impact of preventing COVID-19 in immunocompromised individuals pp. 1-18

- Siyu Chen, Sudhir Venkatesan, Sofie Arnetorp, Klas Bergenheim, Sabada Dube, Wilhelmine Meeraus, Cátia Ferreira, Sylvia Taylor and Lisa J White
Volume 21, issue 5, 2025
- Cellular morphodynamics as quantifiers for functional states of resident tissue macrophages in vivo pp. 1-28

- Miriam Schnitzerlein, Eric Greto, Anja Wegner, Anna Möller, Oliver Aust, Oumaima Ben Brahim, David B Blumenthal, Vasily Zaburdaev and Stefan Uderhardt
- Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells pp. 1-28

- Owen M O’Connor and Mary J Dunlop
- Learning a deep language model for microbiomes: The power of large scale unlabeled microbiome data pp. 1-24

- Quintin Pope, Rohan Varma, Christine Tataru, Maude M David and Xiaoli Fern
- Knowledge-aware contrastive heterogeneous molecular graph learning pp. 1-24

- Mukun Chen, Jia Wu, Shirui Pan, Fu Lin, Bo Du, Xiuwen Gong and Wenbin Hu
- Optimization hardness constrains ecological transients pp. 1-24

- William Gilpin
- MaxComp: Predicting single-cell chromatin compartments from 3D chromosome structures pp. 1-27

- Yuxiang Zhan, Francesco Musella and Frank Alber
- Ten quick tips to perform meaningful and reproducible molecular docking calculations pp. 1-18

- Elvis A F Martis and Stéphane Téletchéa
- OmniSegger: A time-lapse image analysis pipeline for bacterial cells pp. 1-18

- Teresa W Lo, Kevin J Cutler, H James Choi and Paul A Wiggins
- Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis pp. 1-14

- Yukako Yamane, Yuzhe Li, Keita Matsumoto, Ryota Kanai, Miles Desforges, Carlos Enrique Gutierrez and Kenji Doya
- Optimal transport reveals dynamic gene regulatory networks via gene velocity estimation pp. 1-30

- Wenjun Zhao, Erica Larschan, Björn Sandstede and Ritambhara Singh
- Expectation generation and its effect on subsequent pain and visual perception pp. 1-30

- Rotem Botvinik-Nezer, Stephan Geuter, Martin A Lindquist and Tor D Wager
- Building momentum: A computational account of persistence toward long-term goals pp. 1-39

- Sneha Aenugu and John P O’Doherty
- Colonization times in Moran process on graphs pp. 1-12

- Lenka Kopfová and Josef Tkadlec
- Macroecological patterns in experimental microbial communities pp. 1-31

- William R Shoemaker, Álvaro Sánchez and Jacopo Grilli
- Many roads to minimizing regret: A comparison of Wang et al (2024) and OpAL* models of adaptive striatal dopamine pp. 1-5

- Joshua TS Hewson, Alana Jaskir and Michael J Frank
- Capturing the emergent dynamical structure in biophysical neural models pp. 1-36

- Borjan Milinkovic, Lionel Barnett, Olivia Carter, Anil K Seth and Thomas Andrillon
- Modeling opioid overdose events recurrence with a covariate-adjusted triggering point process pp. 1-15

- Fenglian Pan, You Zhou, Carolina Vivas-Valencia, Nan Kong, Carol Ott, Mohammad S Jalali and Jian Liu
- Stimulus uncertainty and relative reward rates determine adaptive responding in perceptual decision-making pp. 1-35

- Luis de la Cuesta-Ferrer, Christina Koß, Sarah Starosta, Nils Kasties, Daniel Lengersdorf, Frank Jäkel and Maik C Stüttgen
- M-band wavelet-based multi-view clustering of cells pp. 1-16

- Tong Liu, Zihuan Liu, Wenke Sun, Adeethyia Shankar, Yongzhong Zhao and Xiaodi Wang
- Inferring synaptic transmission from the stochastic dynamics of the quantal content: An analytical approach pp. 1-22

- Zahra Vahdat, Oliver Gambrell, Jonas Fisch, Eckhard Friauf and Abhyudai Singh
- Conformal prediction for uncertainty quantification in dynamic biological systems pp. 1-22

- Alberto Portela, Julio R Banga and Marcos Matabuena
- Parallel synapses with transmission nonlinearities enhance neuronal classification capacity pp. 1-20

- Yuru Song and Marcus K Benna
- Scoring protein-ligand binding structures through learning atomic graphs with inter-molecular adjacency pp. 1-20

- Debby D Wang and Yuting Huang
- The effects of the post-delay epochs on working memory error reduction pp. 1-29

- Zeyuan Ye, Haoran Li, Liang Tian and Changsong Zhou
- Noise correlations and neuronal diversity may limit the utility of winner-take-all readout in a pop out visual search task pp. 1-29

- Ori Hendler, Ronen Segev and Maoz Shamir
- Generative AI mitigates representation bias and improves model fairness through synthetic health data pp. 1-23

- Raffaele Marchesi, Nicolo Micheletti, Nicholas I-Hsien Kuo, Sebastiano Barbieri, Giuseppe Jurman and Venet Osmani
- BlueRecording: A pipeline for the efficient calculation of extracellular recordings in large-scale neural circuit models pp. 1-25

- Joseph James Tharayil, Jorge Blanco Alonso, Silvia Farcito, Bryn Lloyd, Armando Romani, Elvis Boci, Antonino Cassara, Felix Schürmann, Esra Neufeld, Niels Kuster and Michael Reimann
- Mechanisms of mistrust: A Bayesian account of misinformation learning pp. 1-26

- Lion Schulz, Yannick Streicher, Eric Schulz, Rahul Bhui and Peter Dayan
Volume 21, issue 4, 2025
- Limitations and optimizations of cellular lineages tracking pp. 1-18

- Nava Leibovich and Sidhartha Goyal
- MINT: A toolbox for the analysis of multivariate neural information coding and transmission pp. 1-18

- Gabriel Matías Lorenz, Nicola Marie Engel, Marco Celotto, Loren Koçillari, Sebastiano Curreli, Tommaso Fellin and Stefano Panzeri
- Falsifying computational models of endothelial cell network formation through quantitative comparison with in vitro models pp. 1-18

- Tessa M Vergroesen, Vincent Vermeulen and Roeland M H Merks
- Meta-Reinforcement Learning reconciles surprise, value, and control in the anterior cingulate cortex pp. 1-18

- Tim Vriens, Eliana Vassena, Giovanni Pezzulo, Gianluca Baldassarre and Massimo Silvetti
- Unlocking the soundscape of coral reefs with artificial intelligence: pretrained networks and unsupervised learning win out pp. 1-18

- Ben Williams, Santiago M Balvanera, Sarab S Sethi, Timothy AC Lamont, Jamaluddin Jompa, Mochyudho Prasetya, Laura Richardson, Lucille Chapuis, Emma Weschke, Andrew Hoey, Ricardo Beldade, Suzanne C Mills, Anne Haguenauer, Frederic Zuberer, Stephen D Simpson, David Curnick and Kate E Jones
- Including population and environmental dynamic heterogeneities in continuum models of collective behaviour with applications to locust foraging and group structure pp. 1-21

- Fillipe Georgiou, Camille Buhl, J E F Green, Bishnu Lamichhane and Ngamta Thamwattana
- Federated epidemic surveillance pp. 1-21

- Ruiqi Lyu, Roni Rosenfeld and Bryan Wilder
- Balancing complexity, performance and plausibility to meta learn plasticity rules in recurrent spiking networks pp. 1-21

- Basile Confavreux, Everton J Agnes, Friedemann Zenke, Henning Sprekeler and Tim P Vogels
- A Discretized Overlap Resolution Algorithm (DORA) for resolving spatial overlaps in individual-based models of microbes pp. 1-21

- Ihab Hashem, Jian Wang and Jan FM Van Impe
- Behavior-driven forecasts of neighborhood-level COVID-19 spread in New York City pp. 1-21

- Renquan Zhang, Jilei Tai, Qing Yao, Wan Yang, Kai Ruggeri, Jeffrey Shaman and Sen Pei
- Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter pp. 1-21

- Wasim Abbas, Sieun Lee and Sangil Kim
- The multiscale self-similarity of the weighted human brain connectome pp. 1-20

- Laia Barjuan, Muhua Zheng and M Ángeles Serrano
- TGF-M: Topology-augmented geometric features enhance molecular property prediction pp. 1-22

- Wei He, Xu Tian, Xue Li, Peifu Han, Shuang Wang, Lin Liu and Tao Song
- A new paradigm considering multicellular adhesion, repulsion and attraction represent diverse cellular tile patterns pp. 1-23

- Jose A Carrillo, Hideki Murakawa, Makoto Sato and Miaoxing Wang
- Dynamic brain connectivity predicts emotional arousal during naturalistic movie-watching pp. 1-26

- Jin Ke, Hayoung Song, Zihan Bai, Monica D Rosenberg and Yuan Chang Leong
- Role of pore dilation in molecular transport through the nuclear pore complex: Insights from polymer scaling theory pp. 1-19

- Atsushi Matsuda and Mohammad R K Mofrad
- Estimating Re and overdispersion in secondary cases from the size of identical sequence clusters of SARS-CoV-2 pp. 1-19

- Emma B Hodcroft, Martin S Wohlfender, Richard A Neher, Julien Riou and Christian L Althaus
- scPEDSSC: proximity enhanced deep sparse subspace clustering method for scRNA-seq data pp. 1-15

- Xiaopeng Wei, Jingli Wu, Gaoshi Li, Jiafei Liu, Xi Wu and Chang He
- How distinct sources of nuisance variability in natural images and scenes limit human stereopsis pp. 1-42

- David N White and Johannes Burge
- Foraging animals use dynamic Bayesian updating to model meta-uncertainty in environment representations pp. 1-41

- James Webb, Paul Steffan, Benjamin Y Hayden, Daeyeol Lee, Caleb Kemere and Matthew McGinley
- Quantifying the impact of contact tracing interview prioritisation strategies on disease transmission: A modelling study pp. 1-14

- Logan Wu, Christopher M Baker, Nicholas Tierney, Kylie Carville, Jodie McVernon, Nick Golding, James M McCaw and Freya M Shearer
- Simulating dynamic insecticide selection pressures for resistance management in mosquitoes assuming polygenic resistance pp. 1-37

- Neil Philip Hobbs and Ian Hastings
- Bayesian Inference of Pathogen Phylogeography using the Structured Coalescent Model pp. 1-37

- Ian Roberts, Richard G Everitt, Jere Koskela and Xavier Didelot
- A computational account of multiple motives guiding context-dependent prosocial behavior pp. 1-34

- Claire Lugrin, Jie Hu and Christian C Ruff
- Statistical signature of subtle behavioral changes in large-scale assays pp. 1-28

- Alexandre Blanc, François Laurent, Alex Barbier-Chebbah, Hugues Van Assel, Benjamin T Cocanougher, Benjamin MW Jones, Peter Hague, Marta Zlatic, Rayan Chikhi, Christian L Vestergaard, Tihana Jovanic, Jean-Baptiste Masson and Chloé Barré
- Dynamic modeling of EEG responses to natural speech reveals earlier processing of predictable words pp. 1-28

- Jin Dou, Andrew J Anderson, Aaron S White, Samuel V Norman-Haignere and Edmund C Lalor
- On the validity of electric brain signal predictions based on population firing rates pp. 1-29

- Torbjørn V Ness, Tom Tetzlaff, Gaute T Einevoll and David Dahmen
- The confidence-noise confidence-boost (CNCB) model of confidence rating data pp. 1-25

- Pascal Mamassian and Vincent de Gardelle
- Modeling diffusive search by non-adaptive sperm: Empirical and computational insights pp. 1-25

- Benjamin M Brisard, Kylie D Cashwell, Stephanie M Stewart, Logan M Harrison, Aidan C Charles, Chelsea V Dennis, Ivie R Henslee, Ethan L Carrow, Heather A Belcher, Debajit Bhowmick, Paul W Vos, Maciej Majka, Martin Bier, David M Hart and Cameron A Schmidt
- Quantifying expression and metabolic activity of genes regulated by pregnane X receptor in primary human hepatocyte spheroids pp. 1-25

- Lukáš Lochman, Ellen Tanaka Kahiya, Bechara Saade, Tomáš Smutný, Jurjen Duintjer Tebbens, Petr Pávek and Veronika Bernhauerová
- An evolutionary model of rhythmic accelerando in animal vocal signalling pp. 1-12

- Yannick Jadoul, Taylor A Hersh, Elias Fernández Domingos, Marco Gamba, Livio Favaro and Andrea Ravignani
- RMPJ: An ImageJ plugin for morphological information processing in biomedical images pp. 1-10

- Yoshitaka Kimori
- Ten quick tips to get you started with Bayesian statistics pp. 1-13

- Olivier Gimenez, Andy Royle, Marc Kéry and Chloé R Nater
- DelaySSA: stochastic simulation of biochemical systems and gene regulatory networks with or without time delays pp. 1-13

- Ziyan Jin, Xinyi Zhou and Zhaoyuan Fang
- Biases in neural population codes with a few active neurons pp. 1-13

- Sander W Keemink and Mark CW van Rossum
- A teaching proposal for a short course on biomedical data science pp. 1-16

- Davide Chicco and Vasco Coelho
- A generalized higher-order correlation analysis framework for multi-omics network inference pp. 1-33

- Weixuan Liu, Katherine A Pratte, Peter J Castaldi, Craig Hersh, Russell P Bowler, Farnoush Banaei-Kashani and Katerina J Kechris
- Heuristic energy-based cyclic peptide design pp. 1-33

- Qiyao Zhu, Vikram Khipple Mulligan and Dennis Shasha
Volume 21, issue 3, 2025
- Exploring the transmission of cognitive task information through optimal brain pathways pp. 1-28

- Zhengdong Wang, Yifeixue Yang, Ziyi Huang, Wanyun Zhao, Kaiqiang Su, Hengcheng Zhu and Dazhi Yin
- Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills pp. 1-28

- Russell Dinnage and Marian Kleineberg
- DySCo: A general framework for dynamic functional connectivity pp. 1-32

- Giuseppe de Alteriis, Oliver Sherwood, Alessandro Ciaramella, Robert Leech, Joana Cabral, Federico E Turkheimer and Paul Expert
- Gauge fixing for sequence-function relationships pp. 1-24

- Anna Posfai, Juannan Zhou, David M McCandlish and Justin B Kinney
- Post-processing and weighted combination of infectious disease nowcasts pp. 1-24

- André Victor Ribeiro Amaral, Daniel Wolffram, Paula Moraga and Johannes Bracher
- Synthetic population generation with public health characteristics for spatial agent-based models pp. 1-22

- Emma Von Hoene, Amira Roess, Hamdi Kavak and Taylor Anderson
- Efficient numerosity estimation under limited time pp. 1-22

- Joseph A Heng, Michael Woodford and Rafael Polania
- Suprachiasmatic nucleus-wide estimation of oscillatory temporal dynamics pp. 1-22

- Yifan Yao, Scott Pauls, Duncan Foley, Tomoko Yoshikawa, Sato Honma, Ken-Ichi Honma, Ellie McVeigh, Nicolas C Foley and Rae Silver
- Computational studies reveal structural characterization and novel families of Puccinia striiformis f. sp. tritici effectors pp. 1-26

- Raheel Asghar, Nan Wu, Noman Ali, Yulei Wang and Mahinur Akkaya
- GeneCOCOA: Detecting context-specific functions of individual genes using co-expression data pp. 1-25

- Simonida Zehr, Sebastian Wolf, Thomas Oellerich, Matthias S Leisegang, Ralf P Brandes, Marcel H Schulz and Timothy Warwick
Volume 21, issue 2, 2025
- Repeated games with partner choice pp. 1-19

- Christopher Graser, Takako Fujiwara-Greve, Julián García and Matthijs van Veelen
- Ten quick tips to build a Model Life Cycle pp. 1-10

- Timothée Poisot, Daniel J Becker, Cole B Brookson, Ellie Graeden, Sadie J Ryan, Gemma Turon and Colin Carlson
- ENQUIRE automatically reconstructs, expands, and drives enrichment analysis of gene and Mesh co-occurrence networks from context-specific biomedical literature pp. 1-33

- Luca Musella, Alejandro Afonso Castro, Xin Lai, Max Widmann and Julio Vera
- Bayesian classification of OXPHOS deficient skeletal myofibres pp. 1-22

- Jordan Childs, Tiago Bernardino Gomes, Amy E Vincent, Andrew Golightly and Conor Lawless
- SpatialKNifeY (SKNY): Extending from spatial domain to surrounding area to identify microenvironment features with single-cell spatial omics data pp. 1-22

- Shunsuke A Sakai, Ryosuke Nomura, Satoi Nagasawa, SungGi Chi, Ayako Suzuki, Yutaka Suzuki, Mitsuho Imai, Yoshiaki Nakamura, Takayuki Yoshino, Shumpei Ishikawa, Katsuya Tsuchihara, Shun-Ichiro Kageyama and Riu Yamashita
- A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits pp. 1-20

- Dennis Khodasevich, Nina Holland, Lars van der Laan and Andres Cardenas
- Compression-enabled interpretability of voxelwise encoding models pp. 1-20

- Fatemeh Kamali, Amir Abolfazl Suratgar, Mohammadbagher Menhaj and Reza Abbasi-Asl
- An application of nowcasting methods: Cases of norovirus during the winter 2023/2024 in England pp. 1-20

- Jonathon Mellor, Maria L Tang, Emilie Finch, Rachel Christie, Oliver Polhill, Christopher E Overton, Ann Hoban, Amy Douglas, Sarah R Deeny and Thomas Ward
- Early detection of disease outbreaks and non-outbreaks using incidence data: A framework using feature-based time series classification and machine learning pp. 1-21

- Shan Gao, Amit K Chakraborty, Russell Greiner, Mark A Lewis and Hao Wang
- Accurate Bayesian phylogenetic point estimation using a tree distribution parameterized by clade probabilities pp. 1-21

- Lars Berling, Jonathan Klawitter, Remco Bouckaert, Dong Xie, Alex Gavryushkin and Alexei J Drummond
- Nowcasting reported covid-19 hospitalizations using de-identified, aggregated medical insurance claims data pp. 1-26

- Xueda Shen, Aaron Rumack, Bryan Wilder and Ryan J Tibshirani
- Using a multi-strain infectious disease model with physical information neural networks to study the time dependence of SARS-CoV-2 variants of concern pp. 1-26

- Wenxuan Li, Xu Chen, Suli Liu, Chiyu Zhang and Guyue Liu
- Hexagons all the way down: grid cells as a conformal isometric map of space pp. 1-26

- Vemund Sigmundson Schøyen, Kosio Beshkov, Markus Borud Pettersen, Erik Hermansen, Konstantin Holzhausen, Anders Malthe-Sørenssen, Marianne Fyhn and Mikkel Elle Lepperød
- Identification of recurrent dynamics in distributed neural populations pp. 1-26

- Rodrigo Osuna-Orozco, Edward Castillo, Kameron Decker Harris and Samantha R Santacruz
- Identifying patterns differing between high-dimensional datasets with generalized contrastive PCA pp. 1-23

- Eliezyer Fermino de Oliveira, Pranjal Garg, Jens Hjerling-Leffler, Renata Batista-Brito and Lucas Sjulson
- AWGE-ESPCA: An edge sparse PCA model based on adaptive noise elimination regularization and weighted gene network for Hermetia illucens genomic data analysis pp. 1-23

- Rui Miao, Hao-Yang Yu, Bing-Jie Zhong, Hong-Xia Sun and Qiang Xia
- Optimal control prevents itself from eradicating stochastic disease epidemics pp. 1-25

- Rachel Russell and Nik J Cunniffe
- Ten simple rules for fostering creativity in research labs pp. 1-7

- Matthias C Rillig
- Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction pp. 1-27

- Xianghao Zhan, Qinmei Xu, Yuanning Zheng, Guangming Lu and Olivier Gevaert
- Information transmission in a cell monolayer: A numerical study pp. 1-24

- Paweł Nałęcz-Jawecki, Przemysław Szyc, Frederic Grabowski, Marek Kochańczyk and Tomasz Lipniacki
Volume 21, issue 1, 2025
- Mechanisms for dysregulation of excitatory-inhibitory balance underlying allodynia in dorsal horn neural subcircuits pp. 1-37

- Alexander G Ginsberg, Scott F Lempka, Bo Duan, Victoria Booth and Jennifer Crodelle
- Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data pp. 1-18

- Fernando A Najman, Antonio Galves, Marcela Svarc and Claudia D Vargas
- Optimal control of agent-based models via surrogate modeling pp. 1-27

- Luis L Fonseca, Lucas Böttcher, Borna Mehrad and Reinhard C Laubenbacher
- HighDimMixedModels.jl: Robust high-dimensional mixed-effects models across omics data pp. 1-28

- Evan Gorstein, Rosa Aghdam and Claudia Solís-Lemus
- Multi-region infectious disease prediction modeling based on spatio-temporal graph neural network and the dynamic model pp. 1-26

- Xiaoyi Wang and Zhen Jin
- Data-driven discovery and parameter estimation of mathematical models in biological pattern formation pp. 1-25

- Hidekazu Hishinuma, Hisako Takigawa-Imamura and Takashi Miura
- Integration of unpaired single cell omics data by deep transfer graph convolutional network pp. 1-21

- Yulong Kan, Yunjing Qi, Zhongxiao Zhang, Xikeng Liang, Weihao Wang and Shuilin Jin
- Ten simple rules for good model-sharing practices pp. 1-21

- Ismael Kherroubi Garcia, Christopher Erdmann, Sandra Gesing, Michael Barton, Lauren Cadwallader, Geerten Hengeveld, Christine R Kirkpatrick, Kathryn Knight, Carsten Lemmen, Rebecca Ringuette, Qing Zhan, Melissa Harrison, Feilim Mac Gabhann, Natalie Meyers, Cailean Osborne, Charlotte Till, Paul Brenner, Matt Buys, Min Chen, Allen Lee, Jason Papin and Yuhan Rao
- Bayesian identification of differentially expressed isoforms using a novel joint model of RNA-seq data pp. 1-21

- Xu Shi, Xiao Wang, Lu Jin, Leena Halakivi-Clarke, Robert Clarke, Andrew F Neuwald and Jianhua Xuan
- Deciphering the interplay between biology and physics with a finite element method-implemented vertex organoid model: A tool for the mechanical analysis of cell behavior on a spherical organoid shell pp. 1-29

- Julien Laussu, Deborah Michel, Léa Magne, Stephane Segonds, Steven Marguet, Dimitri Hamel, Muriel Quaranta-Nicaise, Frederick Barreau, Emmanuel Mas, Vincent Velay, Florian Bugarin and Audrey Ferrand
- Social mates dynamically coordinate aggressive behavior to produce strategic territorial defense pp. 1-29

- Nicole M Moody, Cole M Williams, Sohini Ramachandran and Matthew J Fuxjager
- Role and modulation of various spinal pathways for human upper limb control in different gravity conditions pp. 1-20

- Alice Bruel, Lina Bacha, Emma Boehly, Constance De Trogoff, Luca Represa, Gregoire Courtine and Auke Ijspeert
- Prediction of cccDNA dynamics in hepatitis B patients by a combination of serum surrogate markers pp. 1-20

- Kwang Su Kim, Masashi Iwamoto, Kosaku Kitagawa, Hyeongki Park, Sanae Hayashi, Senko Tsukuda, Takeshi Matsui, Masanori Atsukawa, Kentaro Matsuura, Natthaya Chuaypen, Pisit Tangkijvanich, Lena Allweiss, Takara Nishiyama, Naotoshi Nakamura, Yasuhisa Fujita, Eiryo Kawakami, Shinji Nakaoka, Masamichi Muramatsu, Kazuyuki Aihara, Takaji Wakita, Alan S Perelson, Maura Dandri, Koichi Watashi, Shingo Iwami and Yasuhito Tanaka
- Bayesian active sound localisation: To what extent do humans perform like an ideal-observer? pp. 1-22

- Glen McLachlan, Piotr Majdak, Jonas Reijniers, Michael Mihocic and Herbert Peremans
- A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data pp. 1-16

- Lulu Pan, Qian Gao, Kecheng Wei, Yongfu Yu, Guoyou Qin and Tong Wang
- Trajectory inference from single-cell genomics data with a process time model pp. 1-33

- Meichen Fang, Gennady Gorin and Lior Pachter
- Learning predictive signatures of HLA type from T-cell repertoires pp. 1-15

- María Ruiz Ortega, Mikhail V Pogorelyy, Anastasia A Minervina, Paul G Thomas, Thierry Mora and Aleksandra M Walczak
- Eight quick tips for biologically and medically informed machine learning pp. 1-13

- Luca Oneto and Davide Chicco
- Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning pp. 1-12

- Mohammad Neamul Kabir, Li Rong Wang and Wilson Wen Bin Goh
- Ten simple rules to complete successfully a computational MSc thesis project pp. 1-10

- Edoardo Saccenti and Cristina Furlan
- Benchmarking uncertainty quantification for protein engineering pp. 1-19

- Kevin P Greenman, Ava P Amini and Kevin K Yang
- Sparse high-dimensional decomposition of non-primary auditory cortical receptive fields pp. 1-30

- Shoutik Mukherjee, Behtash Babadi and Shihab Shamma
- The calcitron: A simple neuron model that implements many learning rules via the calcium control hypothesis pp. 1-30

- Toviah Moldwin, Li Shay Azran and Idan Segev
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