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 analysing high-throughput data.

They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.

Throughout Data Analysis for the Life Sciences with R, the blend of theory and practical application is designed to help you grasp and apply these techniques effectively.