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Statistics and Data Analysis for Microarrays Using R and Bioconductor, 2nd Edition
book

Statistics and Data Analysis for Microarrays Using R and Bioconductor, 2nd Edition

by Sorin Draghici
April 2016
Beginner to intermediate
1036 pages
33h 39m
English
Chapman and Hall/CRC
Content preview from Statistics and Data Analysis for Microarrays Using R and Bioconductor, 2nd Edition
620 Statistics and Data Analysis for Microarrays Using R and Bioconductor
FIGURE 18.35: Biclustering the ALL data after filtering. Class membership
is indicated by blue (fusion) or magenta (fusion negative) stripe at top of
plot region. Rows correspond to da ta features (genes) while columns to data
points (s amples). Hierarchical clustering is applied simultaneously to both
rows (genes) and columns (samples) of the expression matrix.
Cluster analysis 621
Chebychev distance discussed above. For the Minkowski distance , the e xpo-
nent can be specified using the parameter p, equal to 2 by default. By default,
printing a distance matrix will only show
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Publisher Resources

ISBN: 9781439809761