statistics

Tutorials covering statistics

Material

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Statistics and machine learning

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
Foundational Aspects of Machine Learning using Python
elixir ai-ml jupyter-notebook
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
Pretraining a Large Language Model (LLM) from Scratch on DNA Sequences
elixir ai-ml Large Language Model jupyter-notebook
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
Fine-tuning a LLM for DNA Sequence Classification
elixir ai-ml Large Language Model jupyter-notebook
Predicting Mutation Impact with Zero-shot Learning using a pretrained DNA LLM
elixir ai-ml Large Language Model jupyter-notebook
Generating Artificial Yeast DNA Sequences using a DNA LLM
elixir ai-ml Large Language Model jupyter-notebook
Regulations/standards for AI using DOME
elixir ai-ml

Contributors

This material was contributed to by:

Wandrille Duchemin avatar Wandrille DucheminSimon Bray avatar Simon BrayVijay avatar VijayRalf Gabriels avatar Ralf Gabrielsorcid logoArmin Dadras avatar Armin Dadrasorcid logoJeremy Goecks avatar Jeremy GoecksGildas Le Corguillé avatar Gildas Le Corguilléorcid logoHelena Rasche avatar Helena RascheDennis Lal group avatar Dennis Lal grouporcid logoBérénice Batut avatar Bérénice Batutorcid logoTeresa Müller avatar Teresa Müllerorcid logoDaniel Blankenberg avatar Daniel BlankenbergRaphael Mourad avatar Raphael Mouradorcid logoAnthony Bretaudeau avatar Anthony BretaudeauKaivan Kamali avatar Kaivan Kamaliorcid logoMarie Gramm avatar Marie GrammMarzia A Cremona avatar Marzia A Cremonaorcid logoBjörn Grüning avatar Björn GrüningMélanie Petera avatar Mélanie PeteraEkaterina Polkh avatar Ekaterina Polkhorcid logoJunhao Qiu avatar Junhao Qiuorcid logoMichelle Terese Savage avatar Michelle Terese Savageorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoStella Fragkouli avatar Stella Fragkouliorcid logoNate Coraor avatar Nate Coraororcid logoMartin Čech avatar Martin Čechorcid logoPaulo Cilas Morais Lyra Junior avatar Paulo Cilas Morais Lyra Juniororcid logoFabio Cumbo avatar Fabio Cumboorcid logoAlireza Khanteymoori avatar Alireza KhanteymooriAnup Kumar avatar Anup Kumarorcid 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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de.NBI
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UFR
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EuroScienceGateway
EuroScienceGateway was funded by the European Union programme Horizon Europe (HORIZON-INFRA-2021-EOSC-01-04) under grant agreement number 101057388 and by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee grant number 10038963.
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ELIXIR Europe
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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.