New normalization methods for cDNA microarray data
Author(s) -
David L. Wilson,
Michael Buckley,
Chris A. Helliwell,
Iain W. Wilson
Publication year - 2003
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btg146
Subject(s) - normalization (sociology) , dna microarray , microarray databases , computational biology , complementary dna , microarray , software , microarray analysis techniques , database normalization , computer science , gene expression profiling , data mining , biology , bioinformatics , gene expression , genetics , gene , artificial intelligence , pattern recognition (psychology) , sociology , anthropology , programming language
The focus of this paper is on two new normalization methods for cDNA microarrays. After the image analysis has been performed on a microarray and before differentially expressed genes can be detected, some form of normalization must be applied to the microarrays. Normalization removes biases towards one or other of the fluorescent dyes used to label each mRNA sample allowing for proper evaluation of differential gene expression.
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