Statistics and machine learning — Editorial Board Home

This is a new, experimental "Editorial Board Home" for a given topic. It is intended to provide a single place for maintainers and editorial board members to find out key information about their topic and identify action items.

Editorial Board

Marzia A Cremona avatar Marzia A Cremonaorcid logoFabio Cumbo avatar Fabio CumboAnup Kumar avatar Anup Kumar

Action Items

Item Status Why you should do this
Summary Done ✅ Provide a sufficiently detailed summary of the topic to let learners know what they're learning about in this topic.
Sufficient Editorial Board Members Done ✅ (3 members) Having multiple people sharing the burden of being responsible for a specific topic can reduce board member burn-out in the long term.
Enable Subtopics Pending ❌ Subtopics help organize the content and make it easier to navigate.
Annotate Funders Done ✅ (1 funders) By annotating the funders of your topic's materials, you make it easier to write your grant reports later
Learning Pathway CTA Pending ❌ By providing a Learning Pathway CTA, we can help guide learners to the best resources for learning about this topic.

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 with the SimText toolset ❌ ❌ ❌ ✅ ❌
Train and Test a Deep learning image classifier with Galaxy-Ludwig ❌ ❌ ❌ ✅ ❌

Topic Workflows

Material Workflow Updated Version Tests Reports Comments
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy gpu_jupytool Jan 30, 2025 1 ❌ ❌ ❌
Age prediction using machine learning Age Prediction DNA Methylation Jan 30, 2025 6 ❌ ❌ ❌
Age prediction using machine learning Age Prediction RNA-Seq Jan 30, 2025 6 ❌ ❌ ❌
Basics of machine learning Machine Learning Jan 30, 2025 5 ✅ ❌ ❌
Building the LORIS LLR6 PanCancer Model Using PyCaret Ludwig - Image recognition model - MNIST Jan 30, 2025 1 ✅ ❌ ❌
Classification in Machine Learning ml_classification Jan 30, 2025 3 ✅ ✅ ❌
Clustering in Machine Learning Clustering in Machine Learning Jan 30, 2025 2 ✅ ❌ ❌
Deep Learning (Part 1) - Feedforward neural networks (FNN) Intro_To_FNN_v1_0_10_0 Jan 30, 2025 1 ✅ ❌ ❌
Deep Learning (Part 2) - Recurrent neural networks (RNN) Intro_To_RNN_v1_0_10_0 Jan 30, 2025 2 ✅ ❌ ❌
Deep Learning (Part 3) - Convolutional neural networks (CNN) Intro_To_CNN_v1.0.11.0 Jan 30, 2025 1 ✅ ❌ ❌
Image classification in Galaxy with fruit 360 dataset fruit_360 Jan 30, 2025 2 ❌ ❌ ❌
Interval-Wise Testing for omics data Workflow Constructed From History 'IWTomics Workflow' Jan 30, 2025 5 ❌ ❌ ❌
Introduction to deep learning Intro_To_Deep_Learning Jan 30, 2025 1 ❌ ❌ ❌
Machine learning: classification and regression Classification LSVC Jan 30, 2025 6 ✅ ❌ ❌
Machine learning: classification and regression Regression GradientBoosting Jan 30, 2025 6 ✅ ❌ ❌
PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis papaa@0.1.9_PI3K_OG_model_tutorial Jan 30, 2025 1 ❌ ❌ ❌
Regression in Machine Learning ml_regression Jan 30, 2025 1 ✅ ❌ ❌
Text-mining with the SimText toolset Simtext training workflow Jan 30, 2025 1 ❌ ❌ ❌
Train and Test a Deep learning image classifier with Galaxy-Ludwig Ludwig - Image recognition model - MNIST Jan 30, 2025 2 ✅ ❌ ❌

Your topic's Workflow Testing Results

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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
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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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