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

Bioinformatics. 2006 May 15;22(10):1272-4. doi: 10.1093/bioinformatics/btl108. Epub 2006 Mar 30.

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.

Availability: The R package SScore is available from Bioconductor at http://www.bioconductor.org

Publication types

  • Comparative Study

MeSH terms

  • Algorithms*
  • Artificial Intelligence*
  • Gene Expression Profiling / methods*
  • Oligonucleotide Array Sequence Analysis / methods*
  • Pattern Recognition, Automated / methods*
  • Programming Languages*
  • Software*
  • User-Computer Interface