Three useful dimensions for domain applicability in QSAR models using random forest

RP Sheridan - Journal of chemical information and modeling, 2012 - ACS Publications
One popular metric for estimating the accuracy of prospective quantitative structure–activity
relationship (QSAR) predictions is based on the similarity of the compound being predicted …

Three useful dimensions for domain applicability in QSAR models using random forest

RP Sheridan - Journal of chemical information and …, 2012 - pubmed.ncbi.nlm.nih.gov
One popular metric for estimating the accuracy of prospective quantitative structure-activity
relationship (QSAR) predictions is based on the similarity of the compound being predicted …

Three useful dimensions for domain applicability in QSAR models using random forest.

RP Sheridan - Journal of Chemical Information and Modeling, 2012 - europepmc.org
One popular metric for estimating the accuracy of prospective quantitative structure-activity
relationship (QSAR) predictions is based on the similarity of the compound being predicted …

[引用][C] Three Useful Dimensions for Domain Applicability in QSAR Models Using Random Forest

RP Sheridan - Journal of Chemical Information and Modeling, 2012 - cir.nii.ac.jp
Three Useful Dimensions for Domain Applicability in QSAR Models Using Random Forest |
CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ …

[引用][C] Three Useful Dimensions for Domain Applicability in QSAR Models Using Random Forest

RP SHERIDAN - Journal of chemical information and …, 2012 - pascal-francis.inist.fr
Three Useful Dimensions for Domain Applicability in QSAR Models Using Random Forest
CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple …

[引用][C] Three Useful Dimensions for Domain Applicability in QSAR Models Using Random Forest

RP SHERIDAN - Journal of chemical information and …, 2012 - American Chemical Society