The “Window t test”: a simple and powerful approach to detect differentially expressed genes in microarray datasets
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De Gruyter
2008-09-01
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Series: | Open Life Sciences |
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Online Access: | https://doi.org/10.2478/s11535-008-0030-9 |
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doaj-9b86a61179bc44cbb67f1a3d3083716b2021-09-05T21:03:12ZengDe GruyterOpen Life Sciences2391-54122008-09-013332734410.2478/s11535-008-0030-9The “Window t test”: a simple and powerful approach to detect differentially expressed genes in microarray datasetsBerger Fabrice0Hertogh Benoît1Pierre Michaël2Gaigneaux Anthoula3Depiereux Eric4Unité de Recherche en Biologie Moléculaire, Facultés Universitaires Notre-Dame de la Paix, B-5000, Namur, BelgiumUnité de Recherche en Biologie Moléculaire, Facultés Universitaires Notre-Dame de la Paix, B-5000, Namur, BelgiumUnité de Recherche en Biologie Moléculaire, Facultés Universitaires Notre-Dame de la Paix, B-5000, Namur, BelgiumUnité de Recherche en Biologie Moléculaire, Facultés Universitaires Notre-Dame de la Paix, B-5000, Namur, BelgiumUnité de Recherche en Biologie Moléculaire, Facultés Universitaires Notre-Dame de la Paix, B-5000, Namur, Belgiumhttps://doi.org/10.2478/s11535-008-0030-9differential expressionmicroarrayaffymetrixvariancewindow t testsamregularized t testlpelimmashrinkage t |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Berger Fabrice Hertogh Benoît Pierre Michaël Gaigneaux Anthoula Depiereux Eric |
spellingShingle |
Berger Fabrice Hertogh Benoît Pierre Michaël Gaigneaux Anthoula Depiereux Eric The “Window t test”: a simple and powerful approach to detect differentially expressed genes in microarray datasets Open Life Sciences differential expression microarray affymetrix variance window t test sam regularized t test lpe limma shrinkage t |
author_facet |
Berger Fabrice Hertogh Benoît Pierre Michaël Gaigneaux Anthoula Depiereux Eric |
author_sort |
Berger Fabrice |
title |
The “Window t test”: a simple and powerful approach to detect differentially expressed genes in microarray datasets |
title_short |
The “Window t test”: a simple and powerful approach to detect differentially expressed genes in microarray datasets |
title_full |
The “Window t test”: a simple and powerful approach to detect differentially expressed genes in microarray datasets |
title_fullStr |
The “Window t test”: a simple and powerful approach to detect differentially expressed genes in microarray datasets |
title_full_unstemmed |
The “Window t test”: a simple and powerful approach to detect differentially expressed genes in microarray datasets |
title_sort |
“window t test”: a simple and powerful approach to detect differentially expressed genes in microarray datasets |
publisher |
De Gruyter |
series |
Open Life Sciences |
issn |
2391-5412 |
publishDate |
2008-09-01 |
topic |
differential expression microarray affymetrix variance window t test sam regularized t test lpe limma shrinkage t |
url |
https://doi.org/10.2478/s11535-008-0030-9 |
work_keys_str_mv |
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