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

orcid logoFabio Cumbo avatar Fabio CumboMarzia A Cremona avatar Marzia A CremonaAnup 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 18, 2025 1 ❌ ❌ ❌
Age prediction using machine learning Age Prediction DNA Methylation Jan 18, 2025 6 ❌ ❌ ❌
Age prediction using machine learning Age Prediction RNA-Seq Jan 18, 2025 6 ❌ ❌ ❌
Basics of machine learning Machine Learning Jan 18, 2025 5 ✅ ❌ ❌
Building the LORIS LLR6 PanCancer Model Using PyCaret Ludwig - Image recognition model - MNIST Jan 18, 2025 1 ✅ ❌ ❌
Classification in Machine Learning ml_classification Jan 18, 2025 3 ✅ ✅ ❌
Clustering in Machine Learning Clustering in Machine Learning Jan 18, 2025 2 ✅ ❌ ❌
Deep Learning (Part 1) - Feedforward neural networks (FNN) Intro_To_FNN_v1_0_10_0 Jan 18, 2025 1 ✅ ❌ ❌
Deep Learning (Part 2) - Recurrent neural networks (RNN) Intro_To_RNN_v1_0_10_0 Jan 18, 2025 2 ✅ ❌ ❌
Deep Learning (Part 3) - Convolutional neural networks (CNN) Intro_To_CNN_v1.0.11.0 Jan 18, 2025 1 ✅ ❌ ❌
Image classification in Galaxy with fruit 360 dataset fruit_360 Jan 18, 2025 2 ❌ ❌ ❌
Interval-Wise Testing for omics data Workflow Constructed From History 'IWTomics Workflow' Jan 18, 2025 5 ❌ ❌ ❌
Introduction to deep learning Intro_To_Deep_Learning Jan 18, 2025 1 ❌ ❌ ❌
Machine learning: classification and regression Classification LSVC Jan 18, 2025 6 ✅ ❌ ❌
Machine learning: classification and regression Regression GradientBoosting Jan 18, 2025 6 ✅ ❌ ❌
PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis papaa@0.1.9_PI3K_OG_model_tutorial Jan 18, 2025 1 ❌ ❌ ❌
Regression in Machine Learning ml_regression Jan 18, 2025 1 ✅ ❌ ❌
Text-mining with the SimText toolset Simtext training workflow Jan 18, 2025 1 ❌ ❌ ❌
Train and Test a Deep learning image classifier with Galaxy-Ludwig Ludwig - Image recognition model - MNIST Jan 18, 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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