Application of classification algorithms on IDDM rat data

Authors:
Rainer Schmidt;Heike Weiss;Georg Fuellen
Affiliations:
Institute for Biostatistics and Informatics in Medicine and Aging Research, Germany;Institute for Medical Biochemistry and Molecular Biology, University of Rostock, Germany;Institute for Biostatistics and Informatics in Medicine and Aging Research, Germany
Venue:
ICDM'12 Proceedings of the 12th Industrial conference on Advances in Data Mining: applications and theoretical aspects
Year:
2012

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Abstract

In our study, we intend to investigate the mechanism of tolerance induction by the modulatory anti CD4 monoclonal antibody RIB 5/2 in insulin dependent diabetes mellitus rats. The aim of this investigation is to identify the key mechanisms of immune tolerance on the level of T cell, cytokine, and chemokine biomarkers in the blood, lymphatic organs, and pancreas. Additionally, it should be possible to define good biomarkers of autoimmunity and tolerance for prediction of diabetes onset. We mainly applied decision trees and later on some other classification algorithms on a rather small data set. Unfortunately, the results are not significant but are good enough to satisfy our biological partners.