Abstract
Huge amounts of global data (genomic, epigenomic, transcriptomic, proteomic, and metabolomic) generated from a broad spectrum of specimens collected from human patients have accumulated in public repositories, together with electronic health records and drug treatment information. Accordingly, there is a need for bioinformatic methods that can effectively extract useful information for precision medicine. Here, we present two precision medicine approaches using multiomics data and clinical big data, respectively.
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