Version 4 (modified by p.l.horvatovich@…, 8 years ago) (diff)


Welcome to project BiomarkerFeatureSelection?

Statistics Summary

This project contains Matlab source code of classification algorithms with feature selection and preprocessed matlab LC-MS data set of used in the article "A critical assessment of feature selection methods for biomarker discovery in clinical proteomics" under revision at Mollecular & Cellular Proteomics. It contains t-test, Mann-Whitney-Wilcoxon-test (mww-test), Nearest Shrunken Centroid (NSC), linear Support Vector Machine – Recursive Features Elimination (SVM-RFE), Principal Component Discriminant Analysis (PCDA) and Partial Least Squares Discriminant Analysis (PLSDA) and preprocessed LC-MS data sets obtained from human urine and porcine cerebrospinal fluid samples that were spiked with a range of peptides at different concentration levels.

Mailing lists

This project provides the following mailing lists.

Source access

If available, anonymous readonly subversion access works as follows:

  svn co biomarkerfeatureselection

Write access is only available to registered developers.

You can become a developer by registering yourself if you haven't already done so, and requesting write access on the biomarkerfeatureselection-users mailing list.

Starting Points

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Attachments (2)

Download all attachments as: .zip