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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List of Tables
1.1 Collecting versus understanding genetic data. . . . . . . . . 4
3.1 A comparison between cDNA and oligonucleotides arrays. . 55
3.2 The performance of the Affymetrix technology. . . . . . . . 57
3.3 Sources of fluctuations in a typical cDNA microarray exper-
iment. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64
5.1 Total number of pixels for various re solutions. . . . . . . . . 91
5.2 Color depths and number of colors available. . . . . . . . . 94
6.1 Operators and their meaning in R. . . . . . . . . . . . . . . 1 27
6.2 Logical and relational operators in R. . . . . . . . . . . . . 151
6.3 Winning combinations in Keno ...
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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.