Deep Learning in Bioinformatics- Current Advances and Future Prospects

Pokkuluri Kiran Sree
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Pokkuluri Kiran Sree: Head & Professor, Dept of C.S.E, Shri Vishnu Engineering College for Women(A), India

Biomedical Journal of Scientific & Technical Research, 2023, vol. 50, issue 5, 42111-42114

Abstract: Bioinformatics is an interdisciplinary field that combines biology, computer science, and statistics to analyse biological data, unravel complex biological processes, and make meaningful discoveries. With the rapid advancement of high-throughput technologies, there has been an exponential increase in the volume and complexity of biological data. Deep learning, a subfield of machine learning, has emerged as a powerful tool in bioinformatics for addressing these challenges. This research article provides an overview of the recent advances, applications, and challenges of deep learning in bioinformatics. We explore the various domains of bioinformatics where deep learning has made significant contributions, including genomics, proteomics, transcriptomics, and drug discovery.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:50:y:2023:i:5:p:42111-42114

DOI: 10.26717/BJSTR.2023.50.008022

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