Data Analysis for the Life Sciences with R

By:

Rafael A. Irizarry, Michael I. Love

Material type: Text

TextPublication details: CRC Press, Taylor & Francis Group 2017ISBN:

9781498775670

Subject(s):

Life sciences -- Statistical methods. Life sciences. Science

DDC classification:

570.15195 IRI-D

Summary: 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.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	570.15195 IRI-D (Browse shelf(Opens below))	Available		DCB3040

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While statistics textbooks focus on mathematics, this book focuses on using a computer to perform data analysis Focuses on the practical challenges faced by data analysts in the life sciences and introduces mathematics as a tool that can help us achieve scientific goals All sections of this book are reproducible as they were produced by R markdown documents that include R code used to produce the figures, tables and results shown in the book

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.

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