|
|||||
|
|
Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of high-scoring genes |
|
| Authors: | Birte Hellwig Jan G Hengstler Marcus Schmidt Mathias C Gehrmann Wiebke Schormann Jörg Rahnenführer |
| Institution: | (1) Department of Statistics, TU Dortmund University, 44221 Dortmund, Germany;(2) Leibniz Research Centre for Working Environment and Human Factors, TU Dortmund University, Dortmund, Germany;(3) Department of Obstetrics and Gynecology, Johannes Gutenberg University, Medical School, Mainz, Germany;(4) Siemens Healthcare Diagnostics Products GmbH, Cologne, Germany |
| Abstract: | BackgroundA major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For this purpose genome-wide identification of bimodally expressed genes from gene array data is relevant because distinguishability of high and low expression groups is easier compared to genes with unimodal expression distributions. |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |