ABSTRACT

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.

chapter 1|12 pages

Getting Started

chapter 2|56 pages

Inference

chapter 3|34 pages

Exploratory Data Analysis

chapter 4|22 pages

Matrix Algebra

chapter 5|52 pages

Linear Models

chapter 6|32 pages

Inference for High Dimensional Data

chapter 7|28 pages

Statistical Models

chapter 8|36 pages

Distance and Dimension Reduction

chapter 9|32 pages

Basic Machine Learning

chapter 10|38 pages

Batch Effects