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Data Analysis for the Life Sciences with R by Rafael A. Irizarry, Michael I. Love (Paperback, 2016)

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Getting started. Exploratory data analysis. Robust summaries. Matrix algebra. Linear models. Statistical models. Basic machine learning. Batch effects.

About this product

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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.