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Books > Professional & Technical > Biochemical engineering > Biotechnology
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Modern Statistics for Modern Biology (Paperback)
Loot Price: R1,586
Discovery Miles 15 860
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Modern Statistics for Modern Biology (Paperback)
Expected to ship within 9 - 15 working days
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If you are a biologist and want to get the best out of the powerful
methods of modern computational statistics, this is your book. You
can visualize and analyze your own data, apply unsupervised and
supervised learning, integrate datasets, apply hypothesis testing,
and make publication-quality figures using the power of
R/Bioconductor and ggplot2. This book will teach you 'cooking from
scratch', from raw data to beautiful illuminating output, as you
learn to write your own scripts in the R language and to use
advanced statistics packages from CRAN and Bioconductor. It covers
a broad range of basic and advanced topics important in the
analysis of high-throughput biological data, including principal
component analysis and multidimensional scaling, clustering,
multiple testing, unsupervised and supervised learning, resampling,
the pitfalls of experimental design, and power simulations using
Monte Carlo, and it even reaches networks, trees, spatial
statistics, image data, and microbial ecology. Using a minimum of
mathematical notation, it builds understanding from well-chosen
examples, simulation, visualization, and above all hands-on
interaction with data and code.
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