PDC-SGB: Prediction of effective drug combinations using a stochastic gradient boosting algorithm

Combinatorial therapy is a promising strategy for combating complex diseases by improving the efficacy and reducing the side effects. To facilitate the identification of drug combinations in pharmacology, we proposed a new computational model, termed PDC-SGB, to predict effective drug combinations b...

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Bibliographic Details
Published in:	Journal of theoretical biology Vol. 417; pp. 1 - 7
Main Authors:	Xu, Qian, Xiong, Yi, Dai, Hao, Kumari, Kotni Meena, Xu, Qin, Ou, Hong-Yu, Wei, Dong-Qing
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 21.03.2017
Subjects:	Algorithms Computational Biology - methods Databases, Pharmaceutical Drug Combinations Drug Interactions Drug-Related Side Effects and Adverse Reactions Feature patterns Feature selection Models, Theoretical Stochastic gradient boosting Stochastic Processes Technology, Pharmaceutical - methods Feature selection Drug combinations Feature patterns Stochastic gradient boosting
ISSN:	0022-5193, 1095-8541, 1095-8541
Online Access:	Get full text
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