Bioinformatics and artificial intelligence in genomic data analysis: current advances and future directions.
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| Title: | Bioinformatics and artificial intelligence in genomic data analysis: current advances and future directions. |
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| Authors: | Olawade DB; Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, UK. d.olawade@yorksj.ac.uk.; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham, ME7 5NY, UK. d.olawade@yorksj.ac.uk.; Department of Public Health, York St John University, London, UK. d.olawade@yorksj.ac.uk., Kade A; School of Life Sciences, Gibbet Hill, University of Warwick, Warwick, UK., Egbon E; Department of Tissue Engineering and Regenerative Medicine, Faculty of Life Science Engineering, FH Technikum, Vienna, Austria., Usman SO; Department of Systems and Industrial Engineering, University of Arizona, Tucson, USA., Fapohunda O; Department of Chemistry and Biochemistry, University of Arizona, Tucson, USA., Ijiwade J; Department of Chemistry, Faculty of Science, University of Ibadan, Ibadan, Nigeria., Ogbonna CE; Department of Civil/Industrial Engineering, Bahçeşehir Cyprus University, Lefkosa-Guzelyurt, Alaykoy, Mersin-10, Turkey. |
| Source: | Molecular genetics and genomics : MGG [Mol Genet Genomics] 2025 Dec 05; Vol. 300 (1), pp. 111. Date of Electronic Publication: 2025 Dec 05. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101093320 Publication Model: Electronic Cited Medium: Internet ISSN: 1617-4623 (Electronic) Linking ISSN: 16174623 NLM ISO Abbreviation: Mol Genet Genomics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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