Data analysis for the life sciences with R

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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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Title Statements

Full title :Data analysis for the life sciences with R / Rafael A. Irizarry, Michael I. Love.

Summary

Edition Statements

Publication Date:©2017

Publication Statements

Publisher(s):CRC Press, Taylor & Francis Group
Place of Publication:Boca Raton
Language:eng
Publication Date:©2017

Notes

"A Chapman & Hall book."

The Physical Object

Description:1 online resource (xxi, 353 pages) : : illustrations (some color)

Edition Identifiers

ISBN:9781315367002, 1315367009, 9781498775687, 1498775683
DOI:10.1201/9781315367002
oclc:ocn954616979
LC Classification:QH323.5
Dewey Decimal:570.1/5195

1. Getting started -- 2. Inference -- 3. Exploratory data analysis -- 4. Matrix algebra -- 5. Linear models -- 6. Inference for high dimensional data -- 7. Statistical models -- 8. Distance and dimension reduction -- 9. Basic machine Learning -- 10. Batch effects.

Subjects

biological sciences Life Sciences Life sciences -- Statistical methods Recherche -- Méthodes statistiques REFERENCE -- Questions & Answers Research -- Statistical methods Sciences de la vie Sciences de la vie -- Méthodes statisti…