Local-pooled-error test for identifying differentially expressed genes with a small number of replicated microarrays | Zendy

Nitin Jain | Zendy; Jayant Thatte | Zendy; Thomas J. Braciale | Zendy; Klaus Ley | Zendy; Michael J. O’Connell | Zendy; Jae K. Lee | Zendy

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Local-pooled-error test for identifying differentially expressed genes with a small number of replicated microarrays

Author(s) -

Nitin Jain,

Jayant Thatte,

Thomas J. Braciale,

Klaus Ley,

Michael J. O’Connell,

Jae K. Lee

Publication year - 2003

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btg264

Subject(s) - pooling , replicate , dna microarray , false discovery rate , biology , gene , computational biology , statistical hypothesis testing , gene expression profiling , microarray , gene expression , multiple comparisons problem , genetics , statistics , computer science , data mining , mathematics , artificial intelligence

In microarray studies gene discovery based on fold-change values is often misleading because error variability for each gene is heterogeneous under different biological conditions and intensity ranges. Several statistical testing methods for differential gene expression have been suggested, but some of these approaches are underpowered and result in high false positive rates because within-gene variance estimates are based on a small number of replicated arrays.

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