Integrating multi-omics with machine learning: from genomic variant functional annotation to pharmacogenomics and biomarker discovery
Integrating heterogeneous multi-omics data with machine learning (ML) provides a powerful framework for interpreting genomic variants and advancing pharmacogenomic research in precision medicine. High-throughput technologies have generated vast datasets spanning genomics, transcriptomics, epigenomics, and proteomics, y...
Jing Lv, Jinjin Guo, Yangyang Wang et al.
· Frontiers in Pharmacology · 0 citations