title: Autocorrelated logistic ridge regression for prediction based on proteomics spectra.
abstract: 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.
authors.affiliation: Leiden University Medical Center. j.j.goeman@lumc.nl
authors.forename: Jelle J
authors.initials: JJ
authors.lastname: Goeman
mesh_terms: D000465:Algorithms; D006801:Humans; D016013:Likelihood Functions; D016015:Logistic Models; D013058:Mass Spectrometry / Q000706:statistics & numerical data*; D040901:Proteomics / Q000706:statistics & numerical data*