Data analysis for the life sciences with R / Rafael A Irizarry

By:

Irizarr, Rafael A [author]

Publication details: Boca Raton : CRC Press, Taylor & Francis Group, 2017.Description: xxi, 353 pages : illustrations (some color) ; 26 cmISBN:

9781498775670

Subject(s):

Life sciences -- Statistical methods

DDC classification:

23 570.15195 Ir49D

Contents:

Getting started -- Inference -- Exploratory data analysis -- Matrix algebra -- Linear models -- Inference for high dimensional data -- Statistical models -- Distance and dimension reduction -- Basic machine learning -- Batch effects.

Summary: 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.

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Item type	Current library	Call number	Status	Date due	Barcode
Books	Library and Documentation Division PGRRL	570.15195 Ir49D (Browse shelf(Opens below))	Available		113264

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"A Chapman & Hall book."

Getting started --
Inference --
Exploratory data analysis --
Matrix algebra --
Linear models --
Inference for high dimensional data --
Statistical models --
Distance and dimension reduction --
Basic machine learning --
Batch effects.

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.

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