Saib Gappy

TL;DR: In this article , the authors identify novel, replicable genomic risk loci for suicidal thoughts and behaviors (SITB) through meta-analysis and identify more than 200 GWS (P < 5 × 10 − 8) cross-ancestry risk single-nucleotide variants for SITB concentrated in 7 regions on chromosomes 2, 6, 9, 11, 14, 16, and 18.

TL;DR: In this paper , the authors proposed a network representation learning approach to learn associations among genomic variations using a prostate cancer cohort, where the learned associations are encoded into representations that can be used to identify functional modules of genomic variations within genes associated with early-and late-onset prostate cancer.

TL;DR: In this paper , the authors proposed a network representation learning approach to learn associations among genomic variations using a prostate cancer cohort, where the learned associations are encoded into representations that can be used to identify functional modules of genomic variations within genes associated with early-and late-onset prostate cancer.