Support vector machine classification and regression prioritize different structural features for binary compound activity and potency value prediction

ACS Omega

Volumn 2, Issue 10, 2017, Pages 6371-6379

  Rodriguez Pérez, Raquel ^a   Vogt, Martin ^a   Bajorath, Jürgen ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85032643408     PISSN: None     EISSN: 24701343     Source Type: Journal    
DOI: 10.1021/acsomega.7b01079     Document Type: Article

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