A Comparison of Methods for Classifying Clinical Samples Based on Proteomics Data: A Case Study for Statistical and Machine Learning Approaches

A tutorial on support vector machine-based methods for classification problems in chemometrics

(2010) Jan Luts et al.   ANALYTICA CHIMICA ACTA

Discriminating Variable Test and Selectivity Ratio Plot: Quantitative Tools for Interpretation and Variable (Biomarker) Selection in Complex Spectral or Chromatographic Profiles

(2009) Tarja Rajalahti et al.   ANALYTICAL CHEMISTRY

Sparse canonical methods for biological data integration: application to a cross-platform study

(2009) Kim-Anh Lê Cao et al.   BMC BIOINFORMATICS

Proteomic diagnosis competition: Design, concepts, participants and first results

(2009) Bart J.A. Mertens   Journal of Proteomics

Cancer informatics by prototype networks in mass spectrometry

(2008) Frank-Michael Schleif et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value

(2008) A.-L. Boulesteix et al.   BIOINFORMATICS

CMA – a comprehensive Bioconductor package for supervised classification with high dimensional data

(2008) M Slawski et al.   BMC BIOINFORMATICS

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

Large-Scale Proteomics and Phosphoproteomics of Urinary Exosomes

(2008) P. A. Gonzales et al.   JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY

Principal Component Discriminant Analysis

(2008) Tom Fearn   Statistical Applications in Genetics and Molecular Biology

Application of the Random Forest Classification Method to Peaks Detected from Mass Spectrometric Proteomic Profiles of Cancer Patients and Controls

(2008) Jennifer H Barrett et al.   Statistical Applications in Genetics and Molecular Biology