Analysis of Variance for Gene Expression Microarray Data
نویسندگان
چکیده
منابع مشابه
Analysis of Variance for Gene Expression Microarray Data
Spotted cDNA microarrays are emerging as a powerful and cost-effective tool for large-scale analysis of gene expression. Microarrays can be used to measure the relative quantities of specific mRNAs in two or more tissue samples for thousands of genes simultaneously. While the power of this technology has been recognized, many open questions remain about appropriate analysis of microarray data. ...
متن کاملA variance-stabilizing transformation for gene-expression microarray data
MOTIVATION Standard statistical techniques often assume that data are normally distributed, with constant variance not depending on the mean of the data. Data that violate these assumptions can often be brought in line with the assumptions by application of a transformation. Gene-expression microarray data have a complicated error structure, with a variance that changes with the mean in a non-l...
متن کاملApproximate Variance-stabilizing Transformations for Gene-expression Microarray Data
MOTIVATION A variance stabilizing transformation for microarray data was recently introduced independently by several research groups. This transformation has sometimes been called the generalized logarithm or glog transformation. In this paper, we derive several alternative approximate variance stabilizing transformations that may be easier to use in some applications. RESULTS We demonstrate...
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Most genomic data within the NextBio platform are generated using the Affymetrix platform (Figure 2). Ideally, all Affymetrix data would be imported as CEL files, and processed using the same normalization method, such as Robust Multi-array Average (RMA)1; however, for pre-existing experiments, this is often impossible. In this case, probeset-level Microarray Suite version 5 (MAS5) intensities2...
متن کاملData Analysis: Microarray Gene Expression
Most genomic data within the NextBio platform are generated using the Affymetrix platform (Figure 2). Ideally, all Affymetrix data would be imported as CEL files, and processed using the same normalization method, such as Robust Multi-array Average (RMA)1; however, for pre-existing experiments, this is often impossible. In this case, probeset-level Microarray Suite version 5 (MAS5) intensities2...
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ژورنال
عنوان ژورنال: Journal of Computational Biology
سال: 2000
ISSN: 1066-5277,1557-8666
DOI: 10.1089/10665270050514954