SCOPUS 정보 검색 플랫폼

Volumn 7, Issue 31, 2017, Pages 19007-19018

Predicting human intestinal absorption with modified random forest approach: a comprehensive evaluation of molecular representation, unbalanced data, and applicability domain issues

(10) Wang, Ning Ning a Huang, Chen a Dong, Jie a Yao, Zhi Jiang a Zhu, Min Feng a Deng, Zhen Ke a Lv, Ben a Lu, Ai Ping b Chen, Alex F a Cao, Dong Sheng a,b

a CENTRAL SOUTH UNIVERSITY (China)

b HONG KONG BAPTIST UNIVERSITY (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; DRUG PRODUCTS; FORECASTING;

CLASSIFICATION MODELS; COMPREHENSIVE EVALUATION; DRUG DISCOVERY PROCESS; HUMAN INTESTINAL ABSORPTIONS; MOLECULAR REPRESENTATIONS; PREDICTIVE MODELS; STRUCTURE ACTIVITY RELATIONSHIPS; VIRTUAL SCREENING;

CLASSIFICATION (OF INFORMATION);

EID: 85017178494 PISSN: None EISSN: 20462069 Source Type: Journal
DOI: 10.1039/C6RA28442F Document Type: Article

Times cited : (81)

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