April 2016
Beginner to intermediate
1036 pages
33h 39m
English
book
Statistics and Data Analysis for Microarrays Using R and Bioconductor, 2nd Edition
by Sorin Draghici
Content preview from Statistics and Data Analysis for Microarrays Using R and Bioconductor, 2nd Edition
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736 Statistics and Data Analysis for Microarrays Using R and Bioconductor
20.8 Batch preprocessing
In most cases, once one understands the characteristics of one’s data and
establishes a standardized set of preproce ssing and normalization steps, it is
desirable to execute all such steps in a ba tch mode that minimizes the human
intervention. This allows for off-line processing of larger se ts of ar rays. Several
preprocessing steps can be wrapped into a sequence that can be used in a batch
execution mode using one of the following four functions: expresso, threestep,
rma, and mas5.
> eset<-expresso(rawdata, bgcorrect.method="rma",
+ normalize.method="quantiles", ...
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