An efficient weighted graph strategy to identify differentiation associated genes in embryonic stem cells.

ABSTRACT: In the past few decades, embryonic stem cells (ESCs) were of great interest as a model system for studying early developmental processes and because of their potential therapeutic applications in regenerative medicine. However, the underlying mechanisms of ESC differentiation remain unclear, which limits our exploration of the therapeutic potential of stem cells. Fortunately, the increasing quantity and diversity of biological datasets can provide us with opportunities to explore the biological secrets. However, taking advantage of diverse biological information to facilitate the advancement of ESC research still remains a challenge. Here, we propose a scalable, efficient and flexible function prediction framework that integrates diverse biological information using a simple weighted strat

SUBMITTER: Zhang J 

PROVIDER: S-EPMC3637163 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature