A systems biology approach to the global analysis of transcription factors in colorectal cancer.

ABSTRACT:

Background

Biological entities do not perform in isolation, and often, it is the nature and degree of interactions among numerous biological entities which ultimately determines any final outcome. Hence, experimental data on any single biological entity can be of limited value when considered only in isolation. To address this, we propose that augmenting individual entity data with the literature will not only better define the entity's own significance but also uncover relationships with novel biological entities.To test this notion, we developed a comprehensive text mining and computational methodology that focused on discovering new targets of one class of molecular entities, transcription factors (TF), within one particular disease, colorectal cancer (CRC).

Methods

We us

SUBMITTER: Pradhan MP 

PROVIDER: S-EPMC3539921 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature