Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study

标题
Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study
作者
关键词
Molecular docking, Binding affinity, Drug discovery, Machine learning
出版物
BMC BIOINFORMATICS
Volume 15, Issue 1, Pages 291
出版商
Springer Nature
发表日期
2014-08-27
DOI
10.1186/1471-2105-15-291

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