Statistical tools for synthesizing lists of differentially expressed features in related experiments
نویسندگان
چکیده
منابع مشابه
Statistical 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...
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MOTIVATION A common task in analyzing microarray data is to determine which genes are differentially expressed across two kinds of tissue samples or samples obtained under two experimental conditions. Recently several statistical methods have been proposed to accomplish this goal when there are replicated samples under each condition. However, it may not be clear how these methods compare with ...
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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MOTIVATION Microarray technology allows the monitoring of expression levels for thousands of genes simultaneously. In time-course experiments in which gene expression is monitored over time, we are interested in testing gene expression profiles for different experimental groups. However, no sophisticated analytic methods have yet been proposed to handle time-course experiment data. RESULTS We...
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The comparison of several statistical methods currently used for detection of differentially expressed genes was attempted both by a simulation approach and by the analysis of data sets of human expressed sequence tags, obtained from UniGene. In the simulated mixed case, mimicking a situation close to reality, the general chi(2) test was unexpectedly the most efficient in multiple tag sampling ...
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ژورنال
عنوان ژورنال: Genome Biology
سال: 2007
ISSN: 1465-6906
DOI: 10.1186/gb-2007-8-4-r54