Combining evidence of preferential gene-tissue relationships from multiple sources.

ABSTRACT: An important challenge in drug discovery and disease prognosis is to predict genes that are preferentially expressed in one or a few tissues, i.e. showing a considerably higher expression in one tissue(s) compared to the others. Although several data sources and methods have been published explicitly for this purpose, they often disagree and it is not evident how to retrieve these genes and how to distinguish true biological findings from those that are due to choice-of-method and/or experimental settings. In this work we have developed a computational approach that combines results from multiple methods and datasets with the aim to eliminate method/study-specific biases and to improve the predictability of preferentially expressed human genes. A rule-based score is used to merge and assig

SUBMITTER: Guo J 

PROVIDER: S-EPMC3741196 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature