Lesson 2: Basic Statistical Inference for Bioinformatics Studies

Printer-friendly versionPrinter-friendly version
Key Learning Goals for this Lesson:

  • Review basic statistical concepts of populations and samples
  • Review descriptive statistics and graphical tools
  • Review basic concepts in classical statistical testing
  • Introduce methodology for high-throughput data

Introduction to Statistics

We'll begin with a basic review of some of the concepts in statistics such as populations vsersus samples, exploratory data analysis, statistical hypothesis testing, parametric versus nonparametric testing, ideas of power, false discovery and false non-discovery. Finally, we will have a look at some of the methods in Bayesian statistics, which is increasingly used for bioinformatics.  We will briefly go over  these topics and then will go into more detail later.