RCMI Coordinating Center (RCMI CC) Header Logo

Application of Random Forest and Multiple Linear Regression Techniques to QSPR Prediction of an Aqueous Solubility for Military Compounds.

Kovdienko NA, Polishchuk PG, Muratov EN, Artemenko AG, Kuz'min VE, Gorb L, Hill F, Leszczynski J. Application of Random Forest and Multiple Linear Regression Techniques to QSPR Prediction of an Aqueous Solubility for Military Compounds. Mol Inform. 2010 May 17; 29(5):394-406.

View in: PubMed

RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

For technical support please contact support