SNOMAD (Standardization and Normalization of MicroArray Data): Web-accessible gene expression data analysis

Carlo Colantuoni, George Henry, Scott Zeger, Jonathan Pevsner

Research output: Contribution to journalArticle

Abstract

SNOMAD is a collection of algorithms for the normalization and standardization of gene expression datasets derived from diverse biological and technological sources. In addition to conventional transformations and visualization tools, SNOMAD includes two non-linear transformations which correct for bias and variance which are non-uniformly distributed across the range of microarray element signal intensities: (1) Local mean normalization; and (2) Local variance correction (Z-score generation using a locally calculated standard deviation).

Original languageEnglish (US)
Pages (from-to)1540-1541
Number of pages2
JournalBioinformatics
Volume18
Issue number11
DOIs
StatePublished - Nov 1 2002

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Fingerprint Dive into the research topics of 'SNOMAD (Standardization and Normalization of MicroArray Data): Web-accessible gene expression data analysis'. Together they form a unique fingerprint.

  • Cite this