What is it about?
Genome-wide identification of the transcriptomic responses of human cell lines to drug treatments is a challenging issue in medical and pharmaceutical research.
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Why is it important?
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.
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This page is a summary of: Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm, Bioinformatics, July 2019, Oxford University Press (OUP),
DOI: 10.1093/bioinformatics/btz313.
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