Computational Genomics

The general aim of the course is to equip participants with practical and technical knowledge to deploy machine learning methods on genomic data sets. With this aim in mind, we will go through certain statistical concepts and move on to unsupervised and supervised machine learning methods to analyze high-dimensional data sets. There will be theoretical lectures followed by practical sessions where students directly apply what they have learned. These sessions will be provided online in succession. Participants will have a week to work on each module in their own time. Interactions will be provided over the online teaching platform.