| Literature DB >> 26617424 |
Wei Sun1, Yufeng Liu2, James J Crowley3, Ting-Hued Chen4, Hua Zhou5, Haitao Chu6, Shunping Huang7, Pei-Fen Kuan8, Yuan Li5, Darla R Miller9, Ginger D Shaw9, Yichao Wu5, Vasyl Zhabotynsky10, Leonard McMillan11, Fei Zou10, Patrick F Sullivan12, Fernando Pardo-Manuel de Villena3.
Abstract
We have developed a statistical method named IsoDOT to assess differential isoform expression (DIE) and differential isoform usage (DIU) using RNA-seq data. Here isoform usage refers to relative isoform expression given the total expression of the corresponding gene. IsoDOT performs two tasks that cannot be accomplished by existing methods: to test DIE/DIU with respect to a continuous covariate, and to test DIE/DIU for one case versus one control. The latter task is not an uncommon situation in practice, e.g., comparing the paternal and maternal alleles of one individual or comparing tumor and normal samples of one cancer patient. Simulation studies demonstrate the high sensitivity and specificity of IsoDOT. We apply IsoDOT to study the effects of haloperidol treatment on the mouse transcriptome and identify a group of genes whose isoform usages respond to haloperidol treatment.Entities:
Keywords: RNA-seq; differential isoform expression; differential isoform usage; isoform; penalized regression
Year: 2015 PMID: 26617424 PMCID: PMC4662594 DOI: 10.1080/01621459.2015.1040880
Source DB: PubMed Journal: J Am Stat Assoc ISSN: 0162-1459 Impact factor: 5.033