svm.weights

model


This calculates feature weights for multiclass Support
Vector Machine (SVM) problems


Tools for classification and feature selection for 'omics' level
datasets.  It is a tool to provide multiple multivariate classification
and feature selection techniques complete with multiple stability metrics
and aggregation techniques.  It is primarily designed for analysis of
metabolomics datasets but potentially extendable to proteomics and
transcriptomics applications.

Charles Jr

OmicsMarkeR

Classification and Feature Selection for 'Omics' Datasets

svm.weights function

This calculates feature weights for multiclass Support
Vector Machine (SVM) problems

svm.weights: SVM Multiclass Weights Ranking

Description

Usage

Arguments

Value

References