Computational Biology Trainings

by András Aszódi

Generalised linear models

This course is about counting: we will learn how to analyse data on how many times a certain experimental outcome is observed. We focus on generalised linear models (GLMs). Please note that we cannot go into the specific data analysis problems of your particular project.

Topics

Out of scope

This course will not teach you bioinformatics. In particular, no high-throughput sequencing data will be used because they are impractically large, and not everyone on campus is working with sequencing.

If you are interested in the statistical background of gene expression analysis with high-throughput sequencing, then please take our RNA-Seq data analysis course.

Prerequisites

Participants should have a good understanding of basic statistics. Our Statistics with R course helps you refresh your stats skills.

Basic familiarity with R is advantageous, in particular:

If you have attended our R as a programming language training then you are well equipped to take this course, but this is not a strict pre-requisite.

Practical information

Number of participants: minimum 5, maximum 10.

Length: The course takes one half-day, from 09:00 to 13:00 with 2 breaks.