Response projected clustering for direct association with physiological and clinical response data |
| |
Authors: | Sung-Gon Yi Taesung Park Jae K Lee |
| |
Institution: | (1) Department of Statistics, Seoul National University, Silim-dong, Kwanak-gu, Seoul, 151-747, Korea;(2) Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, VA 22908, USA |
| |
Abstract: | 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. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|