Latent rank change detection for analysis of splice-junction microarrays with nonlinear effects

Jonathan Gelfond, Lee Ann Zarzabal, Tarea Burton, Suzanne Burns, Mari Sogayar, Luiz O.F. Penalva

Research output: Contribution to journalArticle

Abstract

Alternative splicing of gene transcripts greatly expands the functional capacity of the genome, and certain splice isoforms may indicate specific disease states such as cancer. Splice junction microarrays interrogate thousands of splice junctions, but data analysis is difficult and error prone because of the increased complexity compared to differential gene expression analysis. We present Rank Change Detection (RCD) as a method to identify differential splicing events based upon a straightforward probabilistic model comparing the over- or underrepresentation of two or more competing isoforms. RCD has advantages over commonly used methods because it is robust to false positive errors due to nonlinear trends in microarray measurements. Further, RCD does not depend on prior knowledge of splice isoforms, yet it takes advantage of the inherent structure of mutually exclusive junctions, and it is conceptually generalizable to other types of splicing arrays or RNA-Seq. RCD specifically identifies the biologically important cases when a splice junction becomes more or less prevalent compared to other mutually exclusive junctions. The example data is from different cell lines of glioblastoma tumors assayed with Agilent microarrays.

Original languageEnglish (US)
Pages (from-to)364-380
Number of pages17
JournalAnnals of Applied Statistics
Volume5
Issue number1
DOIs
StatePublished - Mar 1 2011

Keywords

  • Alternative splicing
  • Gene expression analysis
  • Microarray

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • Statistics, Probability and Uncertainty

Fingerprint Dive into the research topics of 'Latent rank change detection for analysis of splice-junction microarrays with nonlinear effects'. Together they form a unique fingerprint.

  • Cite this