Improved anticancer drug response prediction in cell lines using matrix factorization with similarity regularization

• Published in: BMC cancer Vol. 17; no. 1; pp. 513 - 12
• Main Authors: Wang, Lin, Li, Xiaozhong, Zhang, Louxin, Gao, Qiang
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 02.08.2017; BioMed Central; BMC
• Subjects: Algorithms; Anticancer drug response prediction; Antimitotic agents; Antineoplastic agents; Antineoplastic Agents - pharmacology; Cancer; Cell Line, Tumor; Computational Biology - methods; Databases, Factual; Dosage and administration; Dose-Response Relationship, Drug; Drug Repositioning; Drug Resistance, Neoplasm - genetics; Genetic aspects; Humans; Matrix factorization; Pharmacogenetics; Pharmacogenetics - methods; Pharmacogenomic Variants; Precision cancer medicines; Precision Medicine - methods; Reproducibility of Results; Drug repositioning; Anticancer drug response prediction; Matrix factorization; Precision cancer medicines

Human cancer cell lines are used in research to study the biology of cancer and to test cancer treatments. Recently there are already some large panels of several hundred human cancer cell lines which are characterized with genomic and pharmacological data. The ability to predict drug responses usin...