Predictive and Descriptive CoMFA Models: The Effect of Variable Selection

E-ISSN： 1875-5402|21|2|117-124

ISSN： 1386-2073

Source： Combinatorial Chemistry & High Throughput Screening, Vol.21, Iss.2, 2018-04, pp. : 117-124

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Topomer CoMFA and Virtual Screening Studies of Azaindole Class Renin Inhibitors

Combinatorial Chemistry & High Throughput Screening, Vol. 17, Iss. 5, 2014-06 ,pp. : 458-472

Bentham Science Publishers

Access to resources Recommend Favorite

Variable selection for linear regression models with random covariates

By Nkiet G.M.

Academie des Sciences. Comptes Rendus. Serie 1. Mathematique, Vol. 333, Iss. 12, 2001-12 ,pp. : 1105-1110

Elsevier

Access to resources Recommend Favorite

Variable selection for inhomogeneous spatial point process models

THE CANADIAN JOURNAL OF STATISTICS, Vol. 43, Iss. 2, 2015-06 ,pp. : 288-305

John Wiley & Sons Inc

Access to resources Recommend Favorite

Cluster‐Specific Variable Selection for Product Partition Models

SCANDINAVIAN JOURNAL OF STATISTICS, Vol. 42, Iss. 4, 2015-12 ,pp. : 1065-1077

John Wiley & Sons Inc

Access to resources Recommend Favorite

Probing the structural requirements for antitubercular activity of scalarane derivatives using 2D-QSAR and CoMFA approaches

By Thengyai Suriyan Maitarat Phornphimol Hannongbua Supa Suwanborirux Khanit Plubrukarn Anuchit

Monatshefte für Chemie / Chemical Monthly, Vol. 141, Iss. 6, 2010-06 ,pp. : 621-629

Springer Publishing Company

Access to resources Recommend Favorite