Statistics and machine learning

Statistical Analyses for omics data and machine learning using Galaxy tools

Requirements

Before diving into this topic, we recommend you to have a look at:

Material

You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides () and tutorial () buttons below.
Lesson Slides Hands-on Recordings Input dataset Workflows
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
interactive-tools machine-learning deep-learning jupyter-lab image-segmentation protein-3D-structure
Age prediction using machine learning
Basics of machine learning
Building the LORIS LLR6 PanCancer Model Using PyCaret
LORIS Score Model Machine Learning PyCaret
Classification in Machine Learning
Clustering 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)
Fine tune large protein model (ProtTrans) using HuggingFace
interactive-tools machine-learning deep-learning jupyter-lab fine-tuning dephosphorylation-site-prediction
Image classification in Galaxy with fruit 360 dataset
Interval-Wise Testing for omics data
Introduction to Machine Learning using R
interactive-tools
Introduction to deep learning
Machine learning: classification and regression
PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis
Machine learning Pan-cancer cancer biomarkers oncogenes and tumor suppressor genes
Regression in Machine Learning
Supervised Learning with Hyperdimensional Computing
Text-mining with the SimText toolset
interactive-tools
Train and Test a Deep learning image classifier with Galaxy-Ludwig
MNIST Deep learning Ludwig

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Editorial Board

This material is reviewed by our Editorial Board:

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Contributors

This material was contributed to by:

Ekaterina Polkh avatar Ekaterina Polkh Marzia A Cremona avatar Marzia A Cremona orcid logoFabio Cumbo avatar Fabio Cumbo Simon Bray avatar Simon Bray orcid logoBérénice Batut avatar Bérénice Batut orcid logoSaskia Hiltemann avatar Saskia Hiltemann orcid logoAlireza Khanteymoori avatar Alireza Khanteymoori orcid logoJeremy Goecks avatar Jeremy Goecks orcid logoPaulo Cilas Morais Lyra Junior avatar Paulo Cilas Morais Lyra Junior orcid logoMarie Gramm avatar Marie Gramm orcid logoDaniel Blankenberg avatar Daniel Blankenberg orcid logoNate Coraor avatar Nate Coraor Kaivan Kamali avatar Kaivan Kamali Dennis Lal group avatar Dennis Lal group orcid logoMartin Čech avatar Martin Čech orcid logoHelena Rasche avatar Helena Rasche orcid logoAnthony Bretaudeau avatar Anthony Bretaudeau Anup Kumar avatar Anup Kumar orcid logoBjörn Grüning avatar Björn Grüning Vijay avatar Vijay orcid logoJunhao Qiu avatar Junhao Qiu orcid logoFotis E. Psomopoulos avatar Fotis E. Psomopoulos

Funding

These individuals or organisations provided funding support for the development of this resource

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Gallantries
This project (2020-1-NL01-KA203-064717) is funded with the support of the Erasmus+ programme of the European Union. Their funding has supported a large number of tutorials within the GTN across a wide array of topics.