Irizarr, Rafael A. <br/><br/>
Data analysis for the life sciences with R / 
Rafael A Irizarry 
 - Boca Raton :  CRC Press, Taylor & Francis Group,   2017. 
 - xxi, 353 pages :  illustrations (some color) ;   26 cm 
<br/><br/> "A Chapman & Hall book." 
<br/><br/>Getting started --<br/>Inference --<br/>Exploratory data analysis --<br/>Matrix algebra --<br/>Linear models --<br/>Inference for high dimensional data --<br/>Statistical models --<br/>Distance and dimension reduction --<br/>Basic machine learning --<br/>Batch effects. 
<br/><br/> This title 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 highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained. 
<br/><br/><label>ISBN: </label>9781498775670 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Life sciences -- Statistical methods.
<br/><br/><label>Dewey Class. No.: </label>570.15195 Ir49D