Ontology highlight
ABSTRACT:
SUBMITTER: Pawlikowska I
PROVIDER: S-EPMC4068004 | biostudies-literature | 2014 May
REPOSITORIES: biostudies-literature
Pawlikowska Iwona I Wu Gang G Edmonson Michael M Liu Zhifa Z Gruber Tanja T Zhang Jinghui J Pounds Stan S
Bioinformatics (Oxford, England) 20140122 10
<h4>Summary</h4>Several outlier and subgroup identification statistics (OASIS) have been proposed to discover transcriptomic features with outliers or multiple modes in expression that are indicative of distinct biological processes or subgroups. Here, we borrow ideas from the OASIS methods in the bioinformatics and statistics literature to develop the 'most informative spacing test' (MIST) for unsupervised detection of such transcriptomic features. In an example application involving 14 cases o ...[more]