Network-based prediction for sources of transcriptional dysregulation using latent pathway identification analysis.

ABSTRACT: Understanding the systemic biological pathways and the key cellular mechanisms that dictate disease states, drug response, and altered cellular function poses a significant challenge. Although high-throughput measurement techniques, such as transcriptional profiling, give some insight into the altered state of a cell, they fall far short of providing by themselves a complete picture. Some improvement can be made by using enrichment-based methods to, for example, organize biological data of this sort into collections of dysregulated pathways. However, such methods arguably are still limited to primarily a transcriptional view of the cell. Augmenting these methods still further with networks and additional -omics data has been found to yield pathways that play more fundamental roles. We prop

SUBMITTER: Pham L 

PROVIDER: S-EPMC3156179 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature