Ontology highlight
ABSTRACT:
SUBMITTER: Goldinger A
PROVIDER: S-EPMC3813841 | biostudies-other | 2013 Nov
REPOSITORIES: biostudies-other
Goldinger Anita A Henders Anjali K AK McRae Allan F AF Martin Nicholas G NG Gibson Greg G Montgomery Grant W GW Visscher Peter M PM Powell Joseph E JE
Genetics 20130911 3
Principal components analysis has been employed in gene expression studies to correct for population substructure and batch and environmental effects. This method typically involves the removal of variation contained in as many as 50 principal components (PCs), which can constitute a large proportion of total variation present in the data. Each PC, however, can detect many sources of variation, including gene expression networks and genetic variation influencing transcript levels. We demonstrate ...[more]