Improved detection of differentially expressed genes in microarray experiments through multiple scanning and image integration

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Selecting differentially expressed genes from microarray experiments.

High throughput technologies, such as gene expression arrays and protein mass spectrometry, allow one to simultaneously evaluate thousands of potential biomarkers that could distinguish different tissue types. Of particular interest here is distinguishing between cancerous and normal organ tissues. We consider statistical methods to rank genes (or proteins) in regards to differential expression...

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Sample size for detecting differentially expressed genes in microarray experiments

Background: Microarray experiments are often performed with a small number of biological replicates, resulting in low statistical power for detecting differentially expressed genes and concomitant high false positive rates. While increasing sample size can increase statistical power and decrease error rates, with too many samples, valuable resources are not used efficiently. The issue of how ma...

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Identifying Differentially Expressed Genes in cDNA Microarray Experiments

A major goal of microarray experiments is to determine which genes are differentially expressed between samples. Differential expression has been assessed by taking ratios of expression levels of different samples at a spot on the array and flagging spots (genes) where the magnitude of the fold difference exceeds some threshold. More recent work has attempted to incorporate the fact that the va...

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ژورنال

عنوان ژورنال: Nucleic Acids Research

سال: 2003

ISSN: 1362-4962

DOI: 10.1093/nar/gng149