Ontology highlight
ABSTRACT:
SUBMITTER: Scheubert L
PROVIDER: S-EPMC3158465 | biostudies-literature | 2011 Aug
REPOSITORIES: biostudies-literature
Scheubert Lena L Schmidt Rainer R Repsilber Dirk D Lustrek Mitja M Fuellen Georg G
DNA research : an international journal for rapid publication of reports on genes and genomes 20110726 4
Pluripotent stem cells are able to self-renew, and to differentiate into all adult cell types. Many studies report data describing these cells, and characterize them in molecular terms. Machine learning yields classifiers that can accurately identify pluripotent stem cells, but there is a lack of studies yielding minimal sets of best biomarkers (genes/features). We assembled gene expression data of pluripotent stem cells and non-pluripotent cells from the mouse. After normalization and filtering ...[more]