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 25
A comparison of several tools for
ontological a na lysis
25.1 Introduction
Independently of the platform and the analysis methods used, the result of
a microarray experiment is, in most cases, a list of genes found to be dif-
ferentially expressed.
1
The common challenge faced by the researchers is to
translate such lists of differe ntially regulated genes into a b etter understanding
1
Some of the m aterial in this chapter is reprinted from Khatri P., Draghici S., “On-
tological analysis of gene expression data: current tools, limitations, and open problems,”
Bioinformatics, 2005, Epub ahead of print, with permission from Oxfor d University
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