Assessing statistical significance in microarray experiments using the distance between microarrays.

Assessing statistical significance in microarray experiments using the distance between microarrays.

We propose permutation tests based on the pairwise distances between microarrays to compare location, variability, or equivalence of gene expression between two populations. For these tests the entire microarray or some pre-specified subset of genes is the unit of analysis. The pairwise distances on...

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Bibliographic Details
Main Authors: Douglas Hayden, Peter Lazar, David Schoenfeld, Inflammation and the Host Response to Injury Investigators
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-06-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC2691999?pdf=render
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spelling doaj-61ab43b8ea7346e89e8b20d66b10840b2020-11-25T02:47:07ZengPublic Library of Science (PLoS)PLoS ONE1932-62032009-06-0146e583810.1371/journal.pone.0005838Assessing statistical significance in microarray experiments using the distance between microarrays.Douglas HaydenPeter LazarDavid SchoenfeldInflammation and the Host Response to Injury InvestigatorsWe propose permutation tests based on the pairwise distances between microarrays to compare location, variability, or equivalence of gene expression between two populations. For these tests the entire microarray or some pre-specified subset of genes is the unit of analysis. The pairwise distances only have to be computed once so the procedure is not computationally intensive despite the high dimensionality of the data. An R software package, permtest, implementing the method is freely available from the Comprehensive R Archive Network at http://cran.r-project.org.http://europepmc.org/articles/PMC2691999?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Douglas Hayden
Peter Lazar
David Schoenfeld
Inflammation and the Host Response to Injury Investigators
spellingShingle Douglas Hayden
Peter Lazar
David Schoenfeld
Inflammation and the Host Response to Injury Investigators
Assessing statistical significance in microarray experiments using the distance between microarrays.
PLoS ONE
author_facet Douglas Hayden
Peter Lazar
David Schoenfeld
Inflammation and the Host Response to Injury Investigators
author_sort Douglas Hayden
title Assessing statistical significance in microarray experiments using the distance between microarrays.
title_short Assessing statistical significance in microarray experiments using the distance between microarrays.
title_full Assessing statistical significance in microarray experiments using the distance between microarrays.
title_fullStr Assessing statistical significance in microarray experiments using the distance between microarrays.
title_full_unstemmed Assessing statistical significance in microarray experiments using the distance between microarrays.
title_sort assessing statistical significance in microarray experiments using the distance between microarrays.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2009-06-01
description We propose permutation tests based on the pairwise distances between microarrays to compare location, variability, or equivalence of gene expression between two populations. For these tests the entire microarray or some pre-specified subset of genes is the unit of analysis. The pairwise distances only have to be computed once so the procedure is not computationally intensive despite the high dimensionality of the data. An R software package, permtest, implementing the method is freely available from the Comprehensive R Archive Network at http://cran.r-project.org.
url http://europepmc.org/articles/PMC2691999?pdf=render
work_keys_str_mv AT douglashayden assessingstatisticalsignificanceinmicroarrayexperimentsusingthedistancebetweenmicroarrays
AT peterlazar assessingstatisticalsignificanceinmicroarrayexperimentsusingthedistancebetweenmicroarrays
AT davidschoenfeld assessingstatisticalsignificanceinmicroarrayexperimentsusingthedistancebetweenmicroarrays
AT inflammationandthehostresponsetoinjuryinvestigators assessingstatisticalsignificanceinmicroarrayexperimentsusingthedistancebetweenmicroarrays
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