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Activity Number: 154
Type: Contributed
Date/Time: Monday, July 30, 2007 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #310081
Title: A Novel Application of Quantile Regression for Identification of Cartilage Biomarkers in Equine Microarray Data
Author(s): Liping Huang*+ and Christopher Saunders and Wenying Zhu and Jamie MacLeod and Arnold Stromberg and Arne Bathke
Companies: University of Kentucky and George Mason University and University of Kentucky and University of Kentucky and University of Kentucky and University of Kentucky
Address: , Lexington, KY, ,
Keywords: quantile regression ; microarray data
Abstract:

Total RNA from equine articular cartilage and 10 other tissues was isolated. Two color array experiments were performed to compare the gene expression profile of cartilage versus each of the other 10 tissues. Cartilage-specificity of expression was determined using quantile regression analysis by estimating conditional quantiles of the log2 ratios given the observed average log2 intensities. Nine conditional quantiles were estimated. For each observed gene intensity in a given tissue comparison, a cartilage-specificity score was generated by substituting the Z-score for the corresponding estimated regression quantile. Thirty-eight probe sets were identified that exhibit expression above the 95th conditional quantile in all 10 of the cartilage/tissue comparisons analyzed. The list includes established biomarkers of articular cartilage.


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Revised September, 2007