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Biostatistics with R: An Introduction to

Biostatistics with R: An Introduction to Statistics Through Biological Data . Babak Shahbaba

Biostatistics with R: An Introduction to Statistics Through Biological Data


Biostatistics.with.R.An.Introduction.to.Statistics.Through.Biological.Data..pdf
ISBN: 146141301X,9781461413028 | 369 pages | 10 Mb


Download Biostatistics with R: An Introduction to Statistics Through Biological Data



Biostatistics with R: An Introduction to Statistics Through Biological Data Babak Shahbaba
Publisher: Springer




Note: Books have affiliate links. Over the years I have taught statistics using Excel, Minitab and SPSS. These days I am preparing materials for courses using iNZight, which is a specifically designed user interface with an R engine. 1 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02115, USA Many of these approaches are implemented in the extensively used statistical computing environment R/Bioconductor [5]. Biostatistics with R: An Introduction to Statistics Through Biological Data. Figure 9.4.5 (d) r squared – 1, it should be r squared – 0. The major objective of this book is to provide a thorough, yet engaging introduction to statistics for students and professors in the biological, life, and health sciences. The technology relies on the assumption that, on average, HSIs observed in a given probe set correlate with the true concentration of the given mRNA species in the biological sample, that is, the true expression level of the targeted gene. Our tools use gene sets to Author Affiliations. This text The text introduces fundamental concepts at a level anyone can understand, and then leads the reader to progressively more complex but practical applications using mostly real data from biology and medicine. We introduce and evaluate data analysis methods to interpret simultaneous measurement of multiple genomic features made on the same biological samples.