Description Details Author(s) References See Also
This package allows to perform Multiple Linear Regression Model Population Analysis. It contains quickly deleting non-information and random selecting descriptors from the clustered descriptors and generating 2D-QSAR models, based on Monte Carlo Sampling technique and stepwise MLR. As a result a pool of models can be developed for modeling and prediction. Meanwhile, the predictive ability and robustness of the developed models will be illustrated using the following validation techniques: leave-one-out (LOO) cross-validation procedures, leave-group-out (LGO) cross-validation procedures, squared correlation coefficient of test set and validation through an external test set.
Package: | MLRMPA |
Type: | Package |
Version: | 1.0 |
Date: | 2013-08-21 |
License: | GPL-2 |
Meihong Xie, Xiaoyun Zhang
Maintainer: to complain to <xyzhang@lzu.edu.cn> or <xiemeih@163.com>
H. D. Li, Y. Z. Liang, Q. S. Xu, D. S. Cao, J. Chemomet. 2010, 24, 418-423.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.