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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Microarrays 59
2. Normalization.
The aim of the normalization is to account for systematic differences
across different data sets (e.g. overall intensity) and eliminate artifacts
(e.g., nonlinear dye e ffects). The normalization is crucial if results of
different ex perimental techniques are to be combined. While everyb ody
agrees on the goal of normaliz ation, the consensus seems to disa ppea r
regarding how exactly the normalization should be done. Normaliza-
tion can be necessary for different reasons such as differ ent quantities of
mRNA (leading to different mean intensities), dye nonlinearity and sat-
uration towards the extremities of the range, etc. Normalization issues
and proc edures are discussed in detail in Chapter 20.
3. Experimental design.
The ...
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