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

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

10.1186/s12885-017-3500-5

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Bibliographic Details
Main Authors:	Wang, L, Li, X, Zhang, L, Gao, Q
Other Authors:	MATHEMATICS
Format:	Article
Published:	Springer Nature 2019
Subjects:	Anticancer drug response prediction Drug repositioning Matrix factorization Precision cancer medicines Algorithms Antineoplastic Agents Cell Line, Tumor Computational Biology Databases, Factual Dose-Response Relationship, Drug Drug Repositioning Drug Resistance, Neoplasm Humans Pharmacogenetics Pharmacogenomic Variants Precision Medicine Reproducibility of Results
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/156497
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Institution:	National University of Singapore

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Summary:	10.1186/s12885-017-3500-5