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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
Introduction to R 129
Also, the raw number of citations is clearly dependent on the numb er of papers
published. It is clear that if a journal publis he s more papers, the likelihood
of subsequent c itations is higher. Hence, we nee d to normalize the number of
citations to the number of papers published in each journal. In R, this can be
achieve very easily as follows:
> impact.factors = cites/articles
> impact.factors
[1] 4.33870967742 3.93884892086 6.01894317049
In the above expression, the dot character, “.”, is used a part of the array
name and does not have any other special meaning. Note that even though
the syntax used the names of the arrays containing the data, the result is an
array of values obtained by dividing each element of the first
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Publisher Resources

ISBN: 9781439809761