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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Detalles Bibliográficos
Autores principales: Iwata, Michio, Yuan, Longhao, Zhao, Qibin, Tabei, Yasuo, Berenger, Francois, Sawada, Ryusuke, Akiyoshi, Sayaka, Hamano, Momoko, Yamanishi, Yoshihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Ismb/Eccb 2019 Conference Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612872/
https://www.ncbi.nlm.nih.gov/pubmed/31510663
http://dx.doi.org/10.1093/bioinformatics/btz313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612872/
https://www.ncbi.nlm.nih.gov/pubmed/31510663
http://dx.doi.org/10.1093/bioinformatics/btz313

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