Deep Learning in Genomics Course Material

This page contains material for the GENE46100 Deep learning in genomics course.
Find the 2026 syllabus here and schedule here
Edit github source here

Unit 00 — Introduction

Quick introduction to deep learning

gene46100

notebook

Jupyter notebook in Colab

Haky Im (based on earlier version by Boxiang Liu)

Neural Network Playground Guide

gene46100

how-to

Interactive tool: playground.hakyimlab.org

homework 1

gene46100

homework

© HakyImLab and Listed Authors - CC BY 4.0 License

Updated - DNA score prediction with Pytorch

gene46100

notebook

Jupyter notebook in Colab

TF Binding prediction project

gene46100

project

notebook

The goal of this project is to create a neural network model that predicts TF binding strength in a DNA sequence.

Calibrating hyperparameters with weights and biases

gene46100

project

notebook

Weights and biases is a platform used for AI developers to track, visualize and manage their ML models and experiments. The coolest part is that W&B allows you to log…

Unit 00 — Introduction to Deep Learning

© HakyImLab and Listed Authors - CC BY 4.0 License

© HakyImLab and Listed Authors - CC BY 4.0 License