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

Carlo Colantuoni; George Henry; Scott Zeger; Jonathan Pevsner

doi:10.1093/bioinformatics/18.11.1540

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 journal › Article › peer-review

101 Scopus citations

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 language	English (US)
Pages (from-to)	1540-1541
Number of pages	2
Journal	Bioinformatics
Volume	18
Issue number	11
DOIs	https://doi.org/10.1093/bioinformatics/18.11.1540
State	Published - Nov 1 2002

ASJC Scopus subject areas

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

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10.1093/bioinformatics/18.11.1540

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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).",

author = "Carlo Colantuoni and George Henry and Scott Zeger and Jonathan Pevsner",

note = "Funding Information: Funding for this work was provided by MRRC grant HD24061-12 (to J.P.) and NIH RO1 MH56639 (to S.L.Z.).",

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T2 - Web-accessible gene expression data analysis

AU - Colantuoni, Carlo

AU - Henry, George

AU - Zeger, Scott

AU - Pevsner, Jonathan

N1 - Funding Information: Funding for this work was provided by MRRC grant HD24061-12 (to J.P.) and NIH RO1 MH56639 (to S.L.Z.).

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AB - 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).

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

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