Genetic Algorithms, Simulated Annealing, etc. for Optimizing QSAR Regression Equations
I am interested in creating regression equations for QSAR-related problems. The general idea is to find a linear regression equation from a pool of many (>200) independent variables or descriptors to predict one dependent variable. Typically, the number of rows/observations is small (n=50 at a minimum). There are ways to do this using Generalized Regression in JMP. While the penalized regressio...