Identification of functionally related genes using data mining and data integration: a breast cancer case study.

ABSTRACT:

Background

The identification of the organisation and dynamics of molecular pathways is crucial for the understanding of cell function. In order to reconstruct the molecular pathways in which a gene of interest is involved in regulating a cell, it is important to identify the set of genes to which it interacts with to determine cell function. In this context, the mining and the integration of a large amount of publicly available data, regarding the transcriptome and the proteome states of a cell, are a useful resource to complement biological research.

Results

We describe an approach for the identification of genes that interact with each other to regulate cell function. The strategy relies on the analysis of gene expression profile similarity, considering large datasets of

SUBMITTER: Mosca E 

PROVIDER: S-EPMC2762073 | biostudies-literature | 2009 Oct

REPOSITORIES: biostudies-literature