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Statistical tests for differential expression in cDNA microarray experiments
Extracting biological information from microarray data requires appropriate statistical methods. The simplest statistical method for detecting differential expression is the t test, which can be used to compare two conditions when there is replication of samples. With more than two conditions, analy...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2003
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC154570/ https://www.ncbi.nlm.nih.gov/pubmed/12702200 http://dx.doi.org/10.1186/gb-2003-4-4-210 |
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author | Cui, Xiangqin Churchill, Gary A |
author_facet | Cui, Xiangqin Churchill, Gary A |
author_sort | Cui, Xiangqin |
collection | PubMed |
description | Extracting biological information from microarray data requires appropriate statistical methods. The simplest statistical method for detecting differential expression is the t test, which can be used to compare two conditions when there is replication of samples. With more than two conditions, analysis of variance (ANOVA) can be used, and the mixed ANOVA model is a general and powerful approach for microarray experiments with multiple factors and/or several sources of variation. |
format | Text |
id | pubmed-154570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-1545702003-05-08 Statistical tests for differential expression in cDNA microarray experiments Cui, Xiangqin Churchill, Gary A Genome Biol Review Extracting biological information from microarray data requires appropriate statistical methods. The simplest statistical method for detecting differential expression is the t test, which can be used to compare two conditions when there is replication of samples. With more than two conditions, analysis of variance (ANOVA) can be used, and the mixed ANOVA model is a general and powerful approach for microarray experiments with multiple factors and/or several sources of variation. BioMed Central 2003 2003-03-17 /pmc/articles/PMC154570/ /pubmed/12702200 http://dx.doi.org/10.1186/gb-2003-4-4-210 Text en Copyright © 2003 BioMed Central Ltd |
spellingShingle | Review Cui, Xiangqin Churchill, Gary A Statistical tests for differential expression in cDNA microarray experiments |
title | Statistical tests for differential expression in cDNA microarray experiments |
title_full | Statistical tests for differential expression in cDNA microarray experiments |
title_fullStr | Statistical tests for differential expression in cDNA microarray experiments |
title_full_unstemmed | Statistical tests for differential expression in cDNA microarray experiments |
title_short | Statistical tests for differential expression in cDNA microarray experiments |
title_sort | statistical tests for differential expression in cdna microarray experiments |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC154570/ https://www.ncbi.nlm.nih.gov/pubmed/12702200 http://dx.doi.org/10.1186/gb-2003-4-4-210 |
work_keys_str_mv | AT cuixiangqin statisticaltestsfordifferentialexpressionincdnamicroarrayexperiments AT churchillgarya statisticaltestsfordifferentialexpressionincdnamicroarrayexperiments |