Machine learning in biological research: key algorithms, applications, and future directions.

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Title: Machine learning in biological research: key algorithms, applications, and future directions.
Authors: Alam MNU; Data Diversity Lab, College of Information Science, University of Arizona, Tucson, AZ, USA.; School of Plant Sciences, Arizona Genomics Institute, University of Arizona, Tucson, AZ, USA.; Department of Biochemistry and Molecular Biology, Plant Biotechnology Laboratory, University of Dhaka, Dhaka, Bangladesh., Basava K; Data Diversity Lab, College of Information Science, University of Arizona, Tucson, AZ, USA., Chitransh A; Data Diversity Lab, College of Information Science, University of Arizona, Tucson, AZ, USA., Fattah HMA; Data Diversity Lab, College of Information Science, University of Arizona, Tucson, AZ, USA., Garcia-Verdugo HD; Data Diversity Lab, College of Information Science, University of Arizona, Tucson, AZ, USA., Lo SH; Data Diversity Lab, College of Information Science, University of Arizona, Tucson, AZ, USA., Lohchab T; Data Diversity Lab, College of Information Science, University of Arizona, Tucson, AZ, USA., Martinet KM; Data Diversity Lab, College of Information Science, University of Arizona, Tucson, AZ, USA., Román-Palacios C; Data Diversity Lab, College of Information Science, University of Arizona, Tucson, AZ, USA. cromanpa@arizona.edu.; Center for Diverse Leadership in Science, University of California, Los Angeles, CA, USA. cromanpa@arizona.edu., Salazar JC; Data Diversity Lab, College of Information Science, University of Arizona, Tucson, AZ, USA.; Department of Biology, Washington University, St. Louis, MO, USA.; Department of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA., Van Boxel D; Data Diversity Lab, College of Information Science, University of Arizona, Tucson, AZ, USA.; Applied Math GIDP, University of Arizona, Tucson, AZ, USA.
Source: BMC biology [BMC Biol] 2025 Oct 29; Vol. 23 (1), pp. 324. Date of Electronic Publication: 2025 Oct 29.
Publication Type: Journal Article; Review
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101190720 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7007 (Electronic) Linking ISSN: 17417007 NLM ISO Abbreviation: BMC Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1741-7007
DOI:10.1186/s12915-025-02424-3