Statistics and machine learning — Editorial Board Home

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Editorial Board

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Action Items

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Topic Materials

Material Contributions v2 Pre-requisites Follow up trainings Data on Zenodo Notebook Server Compatibility
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy ❌ ✅ ✅
Age prediction using machine learning ❌ ✅
Basics of machine learning ❌ ✅
Building the LORIS LLR6 PanCancer Model Using 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 ❌ ✅ ✅
Image classification in Galaxy with fruit 360 dataset ❌ ✅ ✅
Interval-Wise Testing for omics data ❌ ✅
Introduction to Machine Learning using R ✅ ✅ ✅ ❌
Introduction to deep learning ❌ ✅
Machine learning: classification and regression ❌ ✅
PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis ❌ ✅
Regression in Machine Learning ❌ ✅
Supervised Learning with Hyperdimensional Computing ❌ ✅
Text-Mining Differences in Chinese Newspaper Articles ✅ ✅
Text-mining with the SimText toolset ❌ ✅
Train and Test a Deep learning image classifier with Galaxy-Ludwig ❌ ✅
Foundational Aspects of Machine Learning using Python ✅ ✅ ✅ ✅
Neural networks using Python ✅ ✅ ✅ ✅
Deep Learning (without Generative Artificial Intelligence) using Python ✅ ✅ ✅ ✅
Generative Artificial Intelligence and Large Langage Model using Python ✅ ✅ ✅ ✅
Regulations/standards for AI using DOME ✅ ✅ ✅

Topic Workflows

Material Workflow Updated Version Tests Reports Comments
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy gpu_jupytool Apr 3, 2025 1 ❌ ❌ ❌
Age prediction using machine learning Age Prediction DNA Methylation Apr 3, 2025 6 ❌ ❌ ❌
Age prediction using machine learning Age Prediction RNA-Seq Apr 3, 2025 6 ❌ ❌ ❌
Basics of machine learning Machine Learning Apr 3, 2025 5 ✅ ❌ ❌
Building the LORIS LLR6 PanCancer Model Using PyCaret Ludwig - Image recognition model - MNIST Apr 3, 2025 1 ✅ ❌ ❌
Classification in Machine Learning ml_classification Apr 3, 2025 3 ✅ ✅ ❌
Clustering in Machine Learning Clustering in Machine Learning Apr 3, 2025 2 ✅ ❌ ❌
Deep Learning (Part 1) - Feedforward neural networks (FNN) Intro_To_FNN_v1_0_10_0 Apr 3, 2025 1 ✅ ❌ ❌
Deep Learning (Part 2) - Recurrent neural networks (RNN) Intro_To_RNN_v1_0_10_0 Apr 3, 2025 2 ✅ ❌ ❌
Deep Learning (Part 3) - Convolutional neural networks (CNN) Intro_To_CNN_v1.0.11.0 Apr 3, 2025 1 ✅ ❌ ❌
Image classification in Galaxy with fruit 360 dataset fruit_360 Apr 3, 2025 2 ❌ ❌ ❌
Interval-Wise Testing for omics data Workflow Constructed From History 'IWTomics Workflow' Apr 3, 2025 5 ❌ ❌ ❌
Introduction to deep learning Intro_To_Deep_Learning Apr 3, 2025 1 ❌ ❌ ❌
Machine learning: classification and regression Classification LSVC Apr 3, 2025 6 ✅ ❌ ❌
Machine learning: classification and regression Regression GradientBoosting Apr 3, 2025 6 ✅ ❌ ❌
PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis papaa@0.1.9_PI3K_OG_model_tutorial Apr 3, 2025 1 ❌ ❌ ❌
Regression in Machine Learning ml_regression Apr 3, 2025 1 ✅ ❌ ❌
Text-Mining Differences in Chinese Newspaper Articles Text Mining Differences in Chinese Newspaper Articles Apr 3, 2025 1 ❌ ✅ ✅
Text-mining with the SimText toolset Simtext training workflow Apr 3, 2025 1 ❌ ❌ ❌
Train and Test a Deep learning image classifier with Galaxy-Ludwig Ludwig - Image recognition model - MNIST Apr 3, 2025 2 ✅ ❌ ❌

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Learning Pathways using materials from this Topic

GTN logo with a multi-coloured star and the words Galaxy Training Network
From R to Machine Learning; an introductory course

This learning path aims to teach you the basics of Machine Learning using R. Initially you will learn how to code in R within the Galaxy platform, gaining some familiarity into how to wrangle and analyze data. Then, you will be guided through the various types of Machine Learning techniques, developing some simple models using R.

beginner statistics data-science
GTN logo with a multi-coloured star and the words Galaxy Training Network
Machine learning

This learning path teaches machine learning from simple concepts to complex ones. You start with a basic introduction to Machine learning. Then you move to different aspects of supervised machine learning such as classification and regression. Further topics introduce you to deep learning concepts such as convolutional and recurrent neural networks and conclue with fine-tuning a large language like model...

beginner machine learning
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Events using materials from this Topic

TODO once this is merged: https://github.com/galaxyproject/training-material/pull/4963

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