Ontology highlight
ABSTRACT:
SUBMITTER: Cavalli FM
PROVIDER: S-EPMC3333772 | biostudies-literature | 2011 Oct
REPOSITORIES: biostudies-literature
Cavalli Florence M G FM Bourgon Richard R Vaquerizas Juan M JM Luscombe Nicholas M NM
Genome biology 20111018 10
Transcriptomic studies routinely measure expression levels across numerous conditions. These datasets allow identification of genes that are specifically expressed in a small number of conditions. However, there are currently no statistically robust methods for identifying such genes. Here we present SpeCond, a method to detect condition-specific genes that outperforms alternative approaches. We apply the method to a dataset of 32 human tissues to determine 2,673 specifically expressed genes. An ...[more]