We will focus on how to analyse our data using linear regression and ANOVA. We will use some biological examples but please note that these techniques are widely used in practically all branches of science.
Topics:
- Fitting straight lines: single and multivariate linear regression, linearizing transformations.
- Fitting proportions and count data: generalized linear models.
- Comparing the means of several samples: all you ever need to know about one- and two-way ANOVA.
- Comparing linear regressions: analysis of covariance (ANCOVA).
Due to the generic nature of the course we cannot focus too much on bioinformatics applications. In particular this course does not teach you NGS sequence analysis.
Pre-requisites:
- A laptop running a web browser which is NOT Internet Explorer.
- Typing skills -- this is a hands-on course with lots of little online exercises.
Experience with R is NOT needed, the emphasis is on the theory. We will just invoke the corresponding R functions where necessary.
