Random Forest is a relatively young but powerful statistical method. It proved its applicability to QSAR tasks solutions. Random Forest have a lot of advantages which allow to effectively analyzing huge datasets:
We developed Random Forest software (CF) which suits for QSAR application. Main features of the CF program are:
The lastest version of the manual for CF program can be downloaded here
Original article of Random Forest method:
Breiman L., Random Forests. Machine Learning 2001, 45, (1), 5-32. - link
Our paper "Application of Random Forest Approach to QSAR Prediction of Aquatic Toxicity"
J. Chem. Inf. Model., 2009, 49 (11), pp 2481–2488 - link