Statistics and Machine Learning

Lesson Slides Hands-on Recordings Input dataset Workflows
Pretraining a Large Language Model (LLM) from Scratch on DNA Sequences
Fine-tuning a LLM for DNA Sequence Classification
Predicting Mutation Impact with Zero-shot Learning using a pretrained DNA LLM
Generating Artificial Yeast DNA Sequences using a DNA LLM
Regulations/standards for AI using DOME
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
Age prediction using machine learning
Basics of machine learning
Classification in Machine Learning
Clustering in Machine Learning
Comparing ligand-binding site predictions across different protein structure modalities using SIMORGH
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
Foundational Aspects of Machine Learning using Python
GLEAM Image Learner - Validating Skin Lesion Classification on HAM10000
GTEx Tissue Modeling with Galaxy Image Learner
Galaxy Tabular Learner - Building a Model using Chowell clinical data
Gleam Multimodal Learner - Head and Neck cancer Recurrence Prediction with HANCOCK
Identifing Survival Markers of Brain tumor with Flexynesis
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
Modeling Breast Cancer Subtypes with Flexynesis
PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis
Prepare Data from CbioPortal for Flexynesis Integration
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
Unsupervised Analysis of Bone Marrow Cells with Flexynesis