Response projected clustering for direct association with physiological and clinical response data

Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients' residual tumor sizes after chemotherapy or glucose levels at various stages of diabetic patients. Current clustering analysis cannot directly incorporate such quantitative metadata into the clustering heatmap of gene expression. It will be quite useful if these clinical response data can be effectively summarized in the high-dimensional clustering display so that important groups of genes can be intuitively discovered with different degrees of relevance to target disease phenotypes. Results: We introduced a novel clustering analysis approach, response projected clustering (RPC), which uses a high-dimensional geometrical projection of response data to the gene expression space. The projected response vector, which becomes the origin in the projected space, is then clustered together with the projected gene ve...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Sung-Gon Yi, Taesung Park, Jae K. Lee
• Keywords: BMCBI 2008, Gene Expression, Microarray Gene Expression, Response Data