SCOREM: statistical consolidation of redundant expression measures.

ABSTRACT: Many platforms for genome-wide analysis of gene expression contain 'redundant' measures for the same gene. For example, the most highly utilized platforms for gene expression microarrays, Affymetrix GeneChip® arrays, have as many as ten or more probe sets for some genes. Occasionally, individual probe sets for the same gene report different trends in expression across experimental conditions, a situation that must be resolved in order to accurately interpret the data. We developed an algorithm, SCOREM, for determining the level of agreement between such probe sets, utilizing a statistical test of concordance, Kendall's W coefficient of concordance, and a graph-searching algorithm for the identification of concordant probe sets. We also present methods for consolidating concordant groups in

SUBMITTER: Schneider S 

PROVIDER: S-EPMC3315298 | biostudies-literature | 2012 Mar

REPOSITORIES: biostudies-literature