Virtual screening toolbox (for MATLAB): collection of MATLAB modules for performing virtual screening with two different approaches (MADS and weighting scheme).
Classification toolbox (for MATLAB): a collection of MATLAB modules for calculating classification (supervised pattern recognition) multivariate models: Discriminant Analysis, Partial Least Square Discriminant Analysis (PLSDA), Classification trees (CART), K-Nearest Neighbors (kNN), Potential Functions (Kernel Density Estimators), Support Vector Machines (SVM) and Soft Independent Modeling of Class Analogy (SIMCA).
PCA toolbox (for MATLAB): a collection of MATLAB modules for calculating unsupervised multivariate models for data structure analysis: Principal Component Analysis (PCA), Multidimensional Scaling (MDS) and Cluster Analysis.
N3-BNN toolbox (for MATLAB): a collection of MATLAB modules for calculating N3 (N-Nearest Neighbours), BNN (Binned Nearest Neighbours) and kNN (k Nearest Neighbours) classification methods.
Kohonen and CPANN toolbox (for MATLAB): a collection of MATLAB modules for developing Kohonen Maps and Counterpropagation Artificial Neural networs (CPANNs), Supervised Kohonen networks and XY-fused networks.
The V-WSP variable reduction for MATLAB is a routine for calculating unsupervised variable reduction based on V-WSP algorithm.
Reshaped Sequential Replacement Toolbox (for MATLAB): is a collection of MATLAB modules for carrying out variable selection based on the Reshaped Sequential Replacement (RSR) algorithm.
Applicability Domain toolbox (for MATLAB): a collection of MATLAB modules for calculating the Applicability Domain (AD) of a set of samples and verify if test samples are inside or outside the AD.
MOLMAP multiway toolbox (for MATLAB): a collection of MATLAB modules for calculating MOLMAP scores on multiway data.
Matlab modules for Caiman (Classification And Influence Matrix ANalysis): a classification method exploiting the properties of the diagonal terms of the influence matrix.
Matlab modules for Hasse distances: a novel chemometric approach based on the partial ordering technique and the Hasse matrix.
Matlab modules for Variable Reduction Testbench: for the application of several methods for variable reduction based on correlation analysis
Distance-based optimal design (for MATLAB): routine for Distance-based optimal design divides a set of samples in two sets (training set and a complementary set).