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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Chapter 13
Analysis of Va riance – ANOVA
In a nutshell, understanding any system means engineering it.
—Lynn Conway
13.1 Introduction
13.1.1 Problem definition and model assumptions
Let us consider an experiment measuring the expression level of a given gene
in a number of k co nditio ns. Each gene i is measured n
i
times for a total of
P
k
i=1
n
i
measurements as follows:
393
394 Statistics and Data Analysis for Microarrays Using R and Bioconductor
Condition
1 2 ··· i ··· k
X
11
X
21
··· X
i1
··· X
k1
X
12
X
22
··· X
i2
··· X
k2
.
.
.
.
.
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.
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.
.
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.
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.
.
.
X
1n
1
X
2n
2
··· X
in
i
··· X
kn
k
Note that ...
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