David Yoshio Takeda

This paper identifies histone modification-associated nucleosome positions in cfDNA that correlate with tumor fraction and cancer state across multiple cancers.

The paper identifies non-coding SNPs associated with prostate cancer risk in men of African ancestry using a deep learning model and experimental validation.

The paper introduces CWAS, a method linking genetic variation to chromatin states, identifying novel prostate cancer risk loci and regulatory mechanisms not detectable by eQTLs.

The paper introduces the L1000 platform, a high-throughput gene expression profiling method, and reports 1.3 million perturbational profiles expanding the Connectivity Map for drug mechanism discovery and functional annotation.