April 2016
Beginner to intermediate
1036 pages
33h 39m
English
book
Statistics and Data Analysis for Microarrays Using R and Bioconductor, 2nd Edition
by Sorin Draghici
Content preview from Statistics and Data Analysis for Microarrays Using R and Bioconductor, 2nd Edition
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Functional analysis and biological interpretation of microarray data 817
view contains the results of the analysis specifically requested by the user in
the tree view. Both use the same statistical model (hypergeometric, binomial,
chi-square, or Fisher’s exact test), as initially selected by the user.
The user can optiona lly specify the expression values for each gene obtained
from their microarray experiment along with the list of g e ne s. The gene ID
and its expression value must be separated by a tab character. The expression
values as specified by the user are displayed in the tree view, which greatly
enhances the interpre tation capabilities of the OE results. For example, instead
of merely identifying apoptosis as a process tha t is significantly ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.