SVM classifier to predict genes important for self-renewal and pluripotency of mouse embryonic stem cells.

ABSTRACT:

Background

Mouse embryonic stem cells (mESCs) are derived from the inner cell mass of a developing blastocyst and can be cultured indefinitely in-vitro. Their distinct features are their ability to self-renew and to differentiate to all adult cell types. Genes that maintain mESCs self-renewal and pluripotency identity are of interest to stem cell biologists. Although significant steps have been made toward the identification and characterization of such genes, the list is still incomplete and controversial. For example, the overlap among candidate self-renewal and pluripotency genes across different RNAi screens is surprisingly small. Meanwhile, machine learning approaches have been used to analyze multi-dimensional experimental data and integrate results from many studies, yet the

SUBMITTER: Xu H 

PROVIDER: S-EPMC3019180 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature