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
Age Group_Uncategorized
Age Group_Uncategorized
ANOVA Table
ASN
Author_Michael I. Love
Author_Rafael A. Irizarry
automatic-update
Batch Effects
biostatistics methods
Category1=Non-Fiction
Category=PBT
Category=PS
CEU Population
computational biology
COP=United Kingdom
CSV File
data visualization techniques
Delivery_Pre-order
Design Matrix
dimension reduction
effect
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Estimated Interaction Coefficient
experimental design
exploratory
expression
gene
Gene Expression Data
genomics
HCMV Genome
height
high dimensional data
High Throughput Experiments
Language_English
Leg Pair
Linear Models
Ma Plot
machine learning
Matrix Algebra
Min 1Q Median 3Q Max
Monte Carlo Simulation
Null Distribution
Null Hypothesis
omics data analysis
PA=Temporarily unavailable
plot
Population SD
Price_€100 and above
PS=Active
Quantile Quantile Plots
quantitative genetics
random
Random Variables
RNA Seq Data
Rstudio
softlaunch
Son's Height
sons
Son’s Height
statistical inference
TSV
variable
volcano
Volcano Plot
Product details
- ISBN 9781138407206
- Weight: 840g
- Dimensions: 178 x 254mm
- Publication Date: 27 Jul 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
- Language: English
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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.
