A novel application of quantile regression for identification of biomarkers exemplified by equine cartilage microarray data

Background: Identification of biomarkers among thousands of genes arrayed for disease classification has been the subject of considerable research in recent years. These studies have focused on disease classification, comparing experimental groups of effected to normal patients. Related experiments can be done to identify tissue-restricted biomarkers, genes with a high level of expression in one tissue compared to other tissue types in the body. Results: In this study, cartilage was compared with ten other body tissues using a two color array experimental design. Thirty-seven probe sets were identified as cartilage biomarkers. Of these, 13 (35%) have existing annotation associated with cartilage including several well-established cartilage biomarkers. These genes comprise a useful database from which novel targets for cartilage biology research can be selected. We determined cartilage specific Z-scores based on the observed M to

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Liping Huang, Wenying Zhu, Christopher P. Saunders, James N. MacLeod, Mai Zhou, Arnold J. Stromberg, Arne C. Bathke
• Keywords: BMCBI 2008, Cartilage, Cartilage Biomarkers, Disease Classification