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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...
Autores principales: | , , |
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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/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%. |
format | Text |
id | pubmed-328456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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