Statistical Applications in Genetics and Molecular Biology
Editor-in-Chief: Stumpf, Michael P.H.
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Autocorrelated Logistic Ridge Regression for Prediction Based on Proteomics Spectra
1Leiden University Medical Center
Citation Information: Statistical Applications in Genetics and Molecular Biology. Volume 7, Issue 2, ISSN (Online) 1544-6115, DOI: 10.2202/1544-6115.1344, February 2008
- Published Online:
This paper presents autocorrelated logistic ridge regression, an extension of logistic ridge regression for ordered covariates that is based on the assumption that adjacent covariates have similar regression coefficients. The method is applied to the analysis of proteomics mass spectra.
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