Title
A two-stage normalization method for partially degraded mRNA microarray data
Abstract
Motivation: The goal of the study is to obtain genetic information from exfoliated colonocytes in the fecal stream rather than directly from mucosa cells within the colon. The latter is obtained through invasive procedures. The difficulties encountered by this procedure are that certain probe information may be compromised due to partially degraded mRNA. Proper normalization is essential to obtaining useful information from these fecal array data. Results: We propose a new two-stage semiparametric normalization method motivated by the features observed in fecal microarray data. A location--scale transformation and a robust inclusion step were used to roughly align arrays within the same treatment. A non-parametric estimated non-linear transformation was then used to remove the potential intensity-based biases. We compared the performance of the new method in analyzing a fecal microarray dataset with those achieved by two existing normalization approaches: global median transformation and quantile normalization. The new method favorably compared with the global median and quantile normalization methods. Availability: The R codes implementing the two-stage method may be obtained from the corresponding author. Contact: nwang@stat.tamu.edu Supplementary information: Additional figures including scatter plots, MA plots and density plots of array differences may be found at http://stat.tamu.edu/~daisy/NSBRI/
Year
DOI
Venue
2005
10.1093/bioinformatics/bti661
Bioinformatics
Keywords
Field
DocType
microarray data,genetics,linear transformation
Quantile normalization,Data mining,Normalization (statistics),Computer science,Microarray analysis techniques,Bioinformatics
Journal
Volume
Issue
ISSN
21
21
1367-4803
Citations 
PageRank 
References 
1
0.41
5
Authors
6
Name
Order
Citations
PageRank
Li-Yu D. Liu1191.32
Naisyin Wang2161.94
Joanne R. Lupton3100.76
Nancy D. Turner4100.76
Robert S. Chapkin5112.12
Laurie A. Davidson6101.09