User:WeWake/Foundation models in bioinformatics
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Foundation models in bioinformatics refers to the application of foundation models such as large language models or deep learning models to bioinformatics problems, such as biomarker discovery, enzyme design, antibody-antigen recognition, drug discovery, omics analysis and disease diagnosis.[1]
History
[edit]Research and applications
[edit]Genomics
[edit]Transcriptomics
[edit]Drug discovery
[edit]Single-cell analyses
[edit]References
[edit]- ^ Guo, Fei; Guan, Renchu; Li, Yaohang; Liu, Qi; Wang, Xiaowo; Yang, Can; Wang, Jianxin (2025-04-01). "Foundation models in bioinformatics". National Science Review.