Mar 23, 1998 · A novel approach using a genetic algorithm (GA) for variable selection in comparative molecular field analysis (CoMFA) was developed.
More recently, we have developed a novel variable selection method for CoMFA modeling (GARGS: genetic algorithm-based region selection), and its utility has ...
A novel approach using a genetic algorithm (GA) for variable selection in comparative molecular field analysis (CoMFA) was developed.
More recently, we have developed a novel variable selection method for CoMFA modeling (GARGS: genetic algorithm-based region selection), and its utility has ...
GA Strategy for Variable Selection in QSAR Studies: Application of GA-Based Region Selection to a 3D-QSAR Study of Acetylcholinesterase Inhibitors. Article.
Mar 1, 1997 · The GAPLS (GA based PLS) program has been developed for variable selection in QSAR studies. The modified GA was employed to obtain a PLS model
Missing: Region | Show results with:Region
stepwise forward backward (SWFB) and genetic algorithm (GA) to derive QSAR models which were further validated for statistical significance and predictive ...
GA Strategy for Variable Selection in QSAR Studies: Application of GA-Based Region Selection to a 3D-QSAR Study of Acetylcholinesterase Inhibitors ... J. Chem.
The aim of this study is to enhance the predictivity power of CoMFA and CoMSIA models by means of different variable selection algorithms.
A Variable Selection Method Based on Uninformative Variable ... GA strategy for variable selection in QSAR studies: GA-based region selection for CoMFA modeling.