1 code implementation • 31 Jan 2019 • Yifeng Tao, Chunhui Cai, William Cohen, Xinghua Lu
Here, we present a deep neural network model with encoder-decoder architecture, referred to as genomic impact transformer (GIT), to infer the functional impact of SGAs on cellular signaling systems through modeling the statistical relationships between SGA events and differentially expressed genes (DEGs) in tumors.
no code implementations • WS 2019 • Yifeng Tao, Bruno Godefroy, Guillaume Genthial, Christopher Potts
Crucial information about the practice of healthcare is recorded only in free-form text, which creates an enormous opportunity for high-impact NLP.
