SScore: An R package for detecting differential gene expression without gene expression summaries

Richard E. Kennedy, Robnet T. Kerns, Xiangrong Kong, Kellie J. Archer, Michael F. Miles

Research output: Contribution to journalArticle

Abstract

Summary: SScore is an R package that facilitates the comparison of gene expression between Affymetrix GeneChips using the S -score algorithm. The S -score algorithm uses probe level data directly to assess differences in gene expression, without requiring a preliminary separate step of probe set expression summary estimation. Therefore, the algorithm avoids introduction of error associated with the expression summary estimation process and has been demonstrated to improve the accuracy of identifying differentially expressed genes. The S -score produces accurate results even when few or no replicates are available.

Original languageEnglish (US)
Pages (from-to)1272-1274
Number of pages3
JournalBioinformatics
Volume22
Issue number10
DOIs
Publication statusPublished - May 15 2006
Externally publishedYes

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ASJC Scopus subject areas

  • Clinical Biochemistry
  • Computer Science Applications
  • Computational Theory and Mathematics

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