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Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm

MOTIVATION: 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...

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Bibliografski detalji
Izdano u:Bioinformatics
Glavni autori: Iwata, Michio, Yuan, Longhao, Zhao, Qibin, Tabei, Yasuo, Berenger, Francois, Sawada, Ryusuke, Akiyoshi, Sayaka, Hamano, Momoko, Yamanishi, Yoshihiro
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6612872/
https://ncbi.nlm.nih.gov/pubmed/31510663
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz313
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