Unknown

Dataset Information

Identification of QTLs controlling gene expression networks defined a priori.


ABSTRACT:

Background

Gene expression microarrays allow the quantification of transcript accumulation for many or all genes in a genome. This technology has been utilized for a range of investigations, from assessments of gene regulation in response to genetic or environmental fluctuation to global expression QTL (eQTL) analyses of natural variation. Current analysis techniques facilitate the statistical querying of individual genes to evaluate the significance of a change in response, also known as differential expression. Since genes are also known to respond as groups due to their membership in networks, effective approaches are needed to investigate transcriptome variation as related to gene network responses.

Results

We describe a statistical approach that is capable of assessing

SUBMITTER: Kliebenstein DJ 

PROVIDER: S-EPMC1540440 | biostudies-literature | 2006 Jun

REPOSITORIES: biostudies-literature