Human gene coexpression landscape: confident network derived from tissue transcriptomic profiles.

ABSTRACT:

Background

Analysis of gene expression data using genome-wide microarrays is a technique often used in genomic studies to find coexpression patterns and locate groups of co-transcribed genes. However, most studies done at global "omic" scale are not focused on human samples and when they correspond to human very often include heterogeneous datasets, mixing normal with disease-altered samples. Moreover, the technical noise present in genome-wide expression microarrays is another well reported problem that many times is not addressed with robust statistical methods, and the estimation of errors in the data is not provided.

Methodology/principal findings

Human genome-wide expression data from a controlled set of normal-healthy tissues is used to build a confident human gene coe

SUBMITTER: Prieto C 

PROVIDER: S-EPMC2597745 | biostudies-literature | 2008

REPOSITORIES: biostudies-literature