Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm
Abstract
Genome-wide identification of the transcriptomic responses of human cell lines to drug treatments is a challenging issue in medical and pharmaceutical research. However, drug-induced gene expression profiles are largely unknown and unobserved for all combinations of drugs and human cell lines, which is a serious obstacle in practical applications.Here, we developed a novel computational method to predict unknown parts of drug-induced gene...
Paper Details
Title
Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm
Published Date
Jul 1, 2019
Journal
Volume
35
Issue
14
Pages
i191 - i199
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