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Data Analysis for the Life Sciences with R
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Data Analysis for the Life Sciences with R
$20800
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
This book is ideal for life science researchers, students, and professionals seeking to enhance their data analysis skills using R. It suits readers with some background in statistics who wish to apply these methods to real-world biological data.
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Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analysing high-throughput data.
They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.
Throughout Data Analysis for the Life Sciences with R, the blend of theory and practical application is designed to help you grasp and apply these techniques effectively.
Book Details
INFORMATION
ISBN: 9781498775670
Publisher: Taylor & Francis Inc
Format: Paperback / softback
Date Published: 25 July 2016
Country: United States
Imprint: Chapman & Hall/CRC
Illustration: 199 Illustrations, color
Audience: Tertiary education
DIMENSIONS
Width: 178.0mm
Height: 254.0mm
Weight: 900g
Pages: 376
About the Author
Rafael A. Irizarry is Professor of Applied Statistics at the Dana Farber Cancer Center and Harvard School of Public Health.?In 2009 he was awarded The Presidents' Award by the Committee of Presidents of Statistical Societies (COPSS). His work has been highly cited and his open source software tools widely downloaded. Michael I. Love is a Postdoctoral Fellow at Harvard School of Public Health. He received his Ph.D. in computational biology in 2013 from the Freie Universität Berlin. Professors Irizarry and Love have taught seven computational biology courses on edX to hundreds of thousands of students.
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