320 Pages
42 Color & 110 B/W Illustrations
by
CRC Press
304 Pages
by
CRC Press
Also available as eBook on:
Scientists can use molecular profiling microarrays to compare healthy cells with their diseased counterparts and develop gene-specific treatments. Finding the best way to interpret original profiling data into accurate trends, however, continues to drive the development of normalization algorithms and software tools. Methods in Microarray Normalization compiles the most useful and novel... Read more
A Comprehensive Analysis of the Effect of Microarray Data Preprocessing Methods on Differentially Expressed Transcript Selection; M. Ray, J. Freudenberg, and W. Zhang
Differentiation Detection in Microarray Normalization; L.M. Li and C. Cheng
Preprocessing and Normalization for Affymetrix GeneChip Expression Microarrays; B. Bolstad
Spatial Detrending and Normalization Methods for Two-Channel DNA and Protein Microarray Data; A. Laurentiu Tarca, S. Draghici, R. Romero, and M. Tainsky
A Survey of cDNA Microarray Normalization and a Comparison by k-NN Classification; W. Wu and E.P. Xing
Technical Variation in Modeling the Joint Expression of Several Genes; W. Liggett
Biological Interpretation for Microarray Normalization Selection; P. Stafford and Y. Tak
Methodology of Functional Analysis for Omics Data Normalization; A. Perlina, T. Nikolskaya, and Y. Nikolsky
Exon Array Analysis for the Detection of Alternative Splicing; P. Gardina and Y. Turpaz
Normalization of Array CGH Data; B. Curry, J. Ghosh, and C. Troup
SNP Array-Based Analysis for Detection of Chromosomal Aberrations and Copy Number Variations; B. Bolstad, S. Ghosh, and Y. Turpaz Index
Differentiation Detection in Microarray Normalization; L.M. Li and C. Cheng
Preprocessing and Normalization for Affymetrix GeneChip Expression Microarrays; B. Bolstad
Spatial Detrending and Normalization Methods for Two-Channel DNA and Protein Microarray Data; A. Laurentiu Tarca, S. Draghici, R. Romero, and M. Tainsky
A Survey of cDNA Microarray Normalization and a Comparison by k-NN Classification; W. Wu and E.P. Xing
Technical Variation in Modeling the Joint Expression of Several Genes; W. Liggett
Biological Interpretation for Microarray Normalization Selection; P. Stafford and Y. Tak
Methodology of Functional Analysis for Omics Data Normalization; A. Perlina, T. Nikolskaya, and Y. Nikolsky
Exon Array Analysis for the Detection of Alternative Splicing; P. Gardina and Y. Turpaz
Normalization of Array CGH Data; B. Curry, J. Ghosh, and C. Troup
SNP Array-Based Analysis for Detection of Chromosomal Aberrations and Copy Number Variations; B. Bolstad, S. Ghosh, and Y. Turpaz Index
Biography
Phillip Stafford
"Methods in Microarray Normalization compiles the most useful and novel techniques for the first time into a single, organized source. Experts in the field provide a diverse view of the mathematical processes that are important in normalizing data and avoiding inherent systematic biases."
– In Anticancer Research, July/August 2008, Vol. 28, No. 4A
