Ontology highlight
ABSTRACT: Purpose
We report a novel analytic method, named intercohort co-analysis or Ican, which aids in the discovery of genes with predictive value for the progression or outcome of diseases from small-size cohorts. We tested this premise in Ewing's sarcoma (ES), a highly metastatic cancer of bone and soft tissues that lacks validated molecular metastasis and prognostic indicators.Experimental design
To uncover genes significantly expressed in ES patient subsets, we first determined a nonarbitrary gene expression significance cutoff based on expression levels in validated expressing and nonexpressing tissues. We next searched for genes that were consistently significantly expressed in several ES cohort and cell line datasets. Significantly expressed genes were independently valida
SUBMITTER: Bennani-Baiti IM
PROVIDER: S-EPMC2905506 | biostudies-literature | 2010 Jul
REPOSITORIES: biostudies-literature