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3 projects in result set.
MPAgenomics - This package contains an implementation of the lars algorithm for the lasso and fusion penalization. It works even if the number of covariate is greater than the number of individuals.
Tags: lasso, lars, sparse linear model, C++, genomic, Bioinformatics, Multivariate Analysis, Multivariate Regression, high dimentional data, low sample size high dimensional data, penalized regression

Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-04-18 16:20

concurrence topology - Concurrence topology is a method for analyzing the dependence structure in multivariate binary data. It is particularly well suited for describing high-order dependence.
Tags: Multivariate Analysis, categorical, fMRI, high dimentional data, low sample size high dimensional data, multivariate, multivariate statistics, non-parametrics, nonparametric, time series
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-02-20 19:07

penalizedSVM - Feature selection for SVM classification in high dimensions using penalty functions L1, SCAD, Elastic Net (L1+L2) and Elastic SCAD (SCAD+L2) SVM. Choice of data-dependent tuning parameters: beside the standard fixed grid an interval search is implemented
Tags: Classification, feature selection, machine learning, tuning parameters, penalty functions, high dimentional data, low sample size high dimensional data, Bioinformatics, Machine Learning
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2012-06-19 15:40

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