Data Analysis for the Life Sciences with R
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A01=Michael I. Love
A01=Rafael A. Irizarry
advanced R programming for life sciences
Author_Michael I. Love
Author_Rafael A. Irizarry
biostatistics methods
Category=GPH
Category=PBT
Category=PSA
data visualization techniques
eq_bestseller
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_science
experimental design
omics data analysis
quantitative genetics
statistical inference
Product details
- ISBN 9781498775670
- Weight: 900g
- Dimensions: 178 x 254mm
- Publication Date: 25 Jul 2016
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Paperback
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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 analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.
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.
