A global meta-analysis of microarray expression data to predict unknown gene functions and estimate the literature-data divide.

ABSTRACT:

Motivation

Approximately 9334 (37%) of human genes have no publications documenting their function and, for those that are published, the number of publications per gene is highly skewed. Furthermore, for reasons not clear, the entry of new gene names into the literature has slowed in recent years. If we are to better understand human/mammalian biology and complete the catalog of human gene function, it is important to finish predicting putative functions for these genes based upon existing experimental evidence.

Results

A global meta-analysis (GMA) of all publicly available GEO two-channel human microarray datasets (3551 experiments total) was conducted to identify genes with recurrent, reproducible patterns of co-regulation across different conditions. Patterns of co-expre

SUBMITTER: Wren JD 

PROVIDER: S-EPMC2732319 | biostudies-literature | 2009 Jul

REPOSITORIES: biostudies-literature