Machine Learning

This module will introduce you to the world of machine learning using Galaxy.

Start with the tutorial at your own pace. If you need support contact us via the Slack Channel gta_machine-learning.

🚨 Choose one of the other Galaxy instances - US/Main, EU, AU - to follow the training.

🚨 The French Galaxy server does not support the Galaxy machine learning tools at the moment.

🚨 The tutorial ‘Building the LORIS LLR6 PanCancer Model Using PyCaret’ works on the US and the EU servers.

Organiser(s) orcid logoMichelle Terese Savage avatar Michelle Terese Savageorcid logoAnup Kumar avatar Anup Kumar
Instructor(s) orcid logoAnna Syme avatar Anna Symeorcid logoAnup Kumar avatar Anup KumarEmmanuel Augustine avatar Emmanuel Augustineorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-JacksonMeltem Kutnu avatar Meltem Kutnuorcid logoMichelle Terese Savage avatar Michelle Terese Savageorcid logoPaulo Cilas Morais Lyra Junior avatar Paulo Cilas Morais Lyra Juniornilchia avatar nilchia

Need help with these tutorials?

Open Slack support channel for this track:   #gta_machine-learning

Machine Learning

If you encounter any issue please ask us in the above Slack channel.

Lesson Slides Hands-on Recordings
Basics of machine learning
Modeling Breast Cancer Subtypes with Flexynesis
Regression in Machine Learning
Deep Learning (Part 1) - Feedforward neural networks (FNN)
Deep Learning (Part 2) - Recurrent neural networks (RNN)
Deep Learning (Part 3) - Convolutional neural networks (CNN)
Galaxy Tabular Learner - Building a Model using Chowell clinical data
LORIS Score Model Machine Learning Tabular Learner

Optional (not required for certificate)

If you encounter any issue please ask us in the above Slack channel.

Lesson Slides Hands-on Recordings
GLEAM Image Learner - Validating Skin Lesion Classification on HAM10000
HAM10000 Dataset Image Classification Deep Learning Image Learner Skin Lesion Classification
Gleam Multimodal Learner - Head and Neck cancer Recurrence Prediction with HANCOCK
Multimodal Learning GLEAM HANCOCK Dataset Recurrence Prediction