Microarray Data Analysis: From Hypotheses to Conclusions Using Gene Expression Data
نویسندگان
چکیده
منابع مشابه
Microarray Data Analysis: From Hypotheses to Conclusions Using Gene Expression Data
We review several commonly used methods for the design and analysis of microarray data. To begin with, some experimental design issues are addressed. Several approaches for pre-processing the data (filtering and normalization) before the statistical analysis stage are then discussed. A common first step in this type of analysis is gene selection based on statistical testing. Two approaches, per...
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MOTIVATION The last few years have seen the development of DNA microarray technology that allows simultaneous measurement of the expression levels of thousands of genes. While many methods have been developed to analyze such data, most have been visualization-based. Methods that yield quantitative conclusions have been diverse and complex. RESULTS We present two straightforward methods for id...
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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...
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ژورنال
عنوان ژورنال: Analytical Cellular Pathology
سال: 2004
ISSN: 2210-7177,2210-7185
DOI: 10.1155/2004/943940