Evaluating the molecule-based prediction of clinical drug responses in cancer
Author(s) -
Zijian Ding,
Songpeng Zu,
Jin Gu
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw344
Subject(s) - drug response , computational biology , drug , cancer , bioinformatics , biology , medicine , pharmacology
Molecule-based prediction of drug response is one major task of precision oncology. Recently, large-scale cancer genomic studies, such as The Cancer Genome Atlas (TCGA), provide the opportunity to evaluate the predictive utility of molecular data for clinical drug responses in multiple cancer types.
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