IsoDOT Detects Differential RNA-Isoform Expression/Usage With Respect to a Categorical or Continuous Covariate With High Sensitivity and Specificity

• Autores: Wei Sun, Yufeng Liu, James L. Crowley, Ting-Huei Chen, Hua Zhou, Haitao Chu, Shunping Huang, Pei-Fen Kuan, Yuan Li, Darla Miller, Shunping Huangynsky, Leonard McMillan, Fei Zou, Patrick F. Sullivan, Ginger Shaw, Yichao Wu, Vasyl Zhabotynsky, Fernando Pardo Manuel De Villena
• Localización: Journal of the American Statistical Association, ISSN 0162-1459, Vol. 110, Nº 511, 2015, págs. 975-986
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • 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, for example, 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. Supplementary materials for this article are available online