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A high performance test of differential gene expression for oligonucleotide arrays

Logit-t employs a logit-transformation for normalization followed by statistical testing at the probe-level. Using four publicly-available datasets, together providing 2,710 known positive incidences of differential expression and 2,913,813 known negative incidences, performance of statistical tests...

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Detalles Bibliográficos
Autores principales: Lemon, William J, Liyanarachchi, Sandya, You, Ming
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC328456/
https://www.ncbi.nlm.nih.gov/pubmed/14519202
http://dx.doi.org/10.1186/gb-2003-4-10-r67
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author Lemon, William J
Liyanarachchi, Sandya
You, Ming
author_facet Lemon, William J
Liyanarachchi, Sandya
You, Ming
author_sort Lemon, William J
collection PubMed
description Logit-t employs a logit-transformation for normalization followed by statistical testing at the probe-level. Using four publicly-available datasets, together providing 2,710 known positive incidences of differential expression and 2,913,813 known negative incidences, performance of statistical tests were: Logit-t provided 75% positive-predictive value, compared with 5% for Affymetrix Microarray Suite 5, 6% for dChip perfect match (PM)-only, and 9% for Robust Multi-array Analysis at the p < 0.01 threshold. Logit-t provided 70% sensitivity, Microarray Suite 5 provided 46%, dChip provided 53% and Robust Multi-array Analysis provided 63%.
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spelling pubmed-3284562004-02-05 A high performance test of differential gene expression for oligonucleotide arrays Lemon, William J Liyanarachchi, Sandya You, Ming Genome Biol Method Logit-t employs a logit-transformation for normalization followed by statistical testing at the probe-level. Using four publicly-available datasets, together providing 2,710 known positive incidences of differential expression and 2,913,813 known negative incidences, performance of statistical tests were: Logit-t provided 75% positive-predictive value, compared with 5% for Affymetrix Microarray Suite 5, 6% for dChip perfect match (PM)-only, and 9% for Robust Multi-array Analysis at the p < 0.01 threshold. Logit-t provided 70% sensitivity, Microarray Suite 5 provided 46%, dChip provided 53% and Robust Multi-array Analysis provided 63%. BioMed Central 2003 2003-09-10 /pmc/articles/PMC328456/ /pubmed/14519202 http://dx.doi.org/10.1186/gb-2003-4-10-r67 Text en Copyright © 2003 Lemon et al.; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Method
Lemon, William J
Liyanarachchi, Sandya
You, Ming
A high performance test of differential gene expression for oligonucleotide arrays
title A high performance test of differential gene expression for oligonucleotide arrays
title_full A high performance test of differential gene expression for oligonucleotide arrays
title_fullStr A high performance test of differential gene expression for oligonucleotide arrays
title_full_unstemmed A high performance test of differential gene expression for oligonucleotide arrays
title_short A high performance test of differential gene expression for oligonucleotide arrays
title_sort high performance test of differential gene expression for oligonucleotide arrays
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC328456/
https://www.ncbi.nlm.nih.gov/pubmed/14519202
http://dx.doi.org/10.1186/gb-2003-4-10-r67
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