Application of Deep Learning Models in Biology

Abstract

Modern biology research generates very large datasets and analysing these to extract meaningful relationships is now a major bottleneck which is aided by machine learning methods. Neural network models in particular are able to learn rules from such datasets to make predictions about biological systems This course will provide a practical introduction to neural network models in biology.

Objective

In this course the students will learn how to apply deep learning methods for the analysis of biological data (e.g. images, DNA sequences, protein sequences). The course will provide a basic foundation on neural networks but focus primarily on practical use of neural network models for practical application to problems in biology.

Resources