Statistics and machine learning

Statistical Analyses for omics data and machine learning using Galaxy tools

Requirements

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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 Differences in Chinese Newspaper Articles
Humanities Text_mining
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:

Daniela Schneider avatar Daniela SchneiderRaphael Mourad avatar Raphael Mouradorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoDaniel Blankenberg avatar Daniel BlankenbergRalf Gabriels avatar Ralf GabrielsAnup Kumar avatar Anup Kumarorcid logoFotis E. Psomopoulos avatar Fotis E. PsomopoulosSimon Bray avatar Simon BrayMarzia A Cremona avatar Marzia A CremonaEkaterina Polkh avatar Ekaterina PolkhWandrille Duchemin avatar Wandrille Ducheminorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoMartin Čech avatar Martin Čechorcid logoJeremy Goecks avatar Jeremy Goecksorcid logoBérénice Batut avatar Bérénice Batutorcid logoPaulo Cilas Morais Lyra Junior avatar Paulo Cilas Morais Lyra Juniororcid logoNate Coraor avatar Nate Coraororcid logoFabio Cumbo avatar Fabio Cumboorcid logoMarie Gramm avatar Marie Grammorcid logoAlireza Khanteymoori avatar Alireza Khanteymooriorcid logoBjörn Grüning avatar Björn GrüningVijay avatar Vijayorcid logoJunhao Qiu avatar Junhao QiuDennis Lal group avatar Dennis Lal grouporcid logoHelena Rasche avatar Helena RascheKaivan Kamali avatar Kaivan Kamali

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.