Knowledge-based matrix factorization temporally resolves the cellular responses to IL-6 stimulation.

ABSTRACT:

Background

External stimulations of cells by hormones, cytokines or growth factors activate signal transduction pathways that subsequently induce a re-arrangement of cellular gene expression. The analysis of such changes is complicated, as they consist of multi-layered temporal responses. While classical analyses based on clustering or gene set enrichment only partly reveal this information, matrix factorization techniques are well suited for a detailed temporal analysis. In signal processing, factorization techniques incorporating data properties like spatial and temporal correlation structure have shown to be robust and computationally efficient. However, such correlation-based methods have so far not be applied in bioinformatics, because large scale biological data rarely imply

SUBMITTER: Kowarsch A 

PROVIDER: S-EPMC3009690 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature