Determining and analyzing differentially expressed genes from cDNA microarray experiments with complementary designs
نویسندگان
چکیده
منابع مشابه
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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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...
متن کاملIdentifying differentially expressed genes from microarray experiments via statistic synthesis
MOTIVATION A common objective of microarray experiments is the detection of differential gene expression between samples obtained under different conditions. The task of identifying differentially expressed genes consists of two aspects: ranking and selection. Numerous statistics have been proposed to rank genes in order of evidence for differential expression. However, no one statistic is univ...
متن کاملStatistical tests for identification of differentially expressed genes in cDNA microarray experiments
Microarrays experiments are becoming a common laboratory tool for monitoring expression level in cells for thousand of genes simultaneously. The new data promise to enhance fundamental understanding of life on a molecular level and may prove useful in medical diagnosis, treatment and drug design. The greatest challenge to array technology lies in the analysis of gene expression data to identify...
متن کاملStatistical methods for identifying differentially expressed genes in cDNA microarray experiments using the R-package SMA
This report is based on a paper about statistical methods for determining differences in gene expression by Dudoit et al. (2000). Following the approaches employed in the original publication we analysed a subset of the cDNA microarray data used by Dudoit to provide an answer to the question whether the same results can be obtained from the limited data source than from the full set. Our result...
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ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 2004
ISSN: 0047-259X
DOI: 10.1016/j.jmva.2004.02.007