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Issues for Consideration in the Analysis of Microarray Data in Behavioural Studies
Author(s) -
Barr Gordon,
Gao Puhong
Publication year - 2005
Publication title -
addiction biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.445
H-Index - 78
eISSN - 1369-1600
pISSN - 1355-6215
DOI - 10.1080/13556210412331308930
Subject(s) - normalization (sociology) , cluster analysis , gene chip analysis , microarray analysis techniques , computer science , dna microarray , data mining , data science , database normalization , microarray databases , data quality , microarray , gene expression , artificial intelligence , engineering , biology , gene , genetics , operations management , metric (unit) , sociology , anthropology
Microarrays are one of several technologies that allow for measurement the expression of thousands of genes simultaneously. This technological advance provides a challenge for the analysis of these data. In this review we discuss these analytical issues from the initial quality control to normalization, differential expression, clustering and finally functional pathway analysis. We focus on Affymetrix data but many of the issues are the same for other array platforms.