Discovery of Intermediary Genes between Pathways Using Sparse Regression.

ABSTRACT: The use of pathways and gene interaction networks for the analysis of differential expression experiments has allowed us to highlight the differences in gene expression profiles between samples in a systems biology perspective. The usefulness and accuracy of pathway analysis critically depend on our understanding of how genes interact with one another. That knowledge is continuously improving due to advances in next generation sequencing technologies and in computational methods. While most approaches treat each of them as independent entities, pathways actually coordinate to perform essential functions in a cell. In this work, we propose a methodology based on a sparse regression approach to find genes that act as intermediary to and interact with two pathways. We model each gene in a pat

SUBMITTER: Liang KC 

PROVIDER: S-EPMC4562633 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature