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3 projects in result set.
Sparsity by Quadratic Penalties - This package fits classical sparse regression models with efficient active set algorithms by solving quadratic problems. Also provides a few methods for model selection purpose (cross-validation, stability selection).
Tags: multivariate regression, sparse method, penalized regression, feature selection, cross-validation, stability selection, elastic-net

Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-03-21 09:55

bootFS - bootFS is a convenient wrapper to multiple methods for two-class or multi-class classification and feature selection in high-throughput omics-data. It is designed to translate individual feature sets into biologically meaningful and robust biomarkers.
Tags: Cancer, Classification, classification, feature selection

Activity Percentile: 0
Activity Ranking: 0
Registered: 2012-09-12 10:13

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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