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Welcome to project BiomarkerFeatureSelection?

Introduction

Statistics Summary

This project contains Matlab source code of feature selection methods 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.

Running code

Matlab code are in Functions directory. Run test_run.m after adapting the path of "Function" directory in cd command at line 18.

Mailing lists

This project provides the following mailing lists.

Source access

If available, anonymous readonly subversion access works as follows:

  svn co https://trac.nbic.nl/svn/biomarkerfeatureselection 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

Other NBIC software projects

All active NBIC software projects can be accessed from the project index.

Last modified 4 years ago Last modified on Oct 1, 2012, 6:23:47 PM

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