The most informative spacing test effectively discovers biologically relevant outliers or multiple modes in expression

• Published in: Bioinformatics Vol. 30; no. 10; pp. 1400 - 1408
• Main Authors: Pawlikowska, Iwona, Wu, Gang, Edmonson, Michael, Liu, Zhifa, Gruber, Tanja, Zhang, Jinghui, Pounds, Stan
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 15.05.2014
• Subjects: Adult; Adults; Bioinformatics; Biological; Biological effects; Biometry; Child; Exons; Female; Gene Expression; Humans; Leukemia, Myeloid, Acute - genetics; Leukemias; Male; Models, Genetic; Original Papers; Sequence Analysis, RNA - methods; Statistical tests; Statistics; Subgroups

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 an...