Statistics and machine learning — Editorial Board Home

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orcid logoFabio Cumbo avatar Fabio CumboMarzia A Cremona avatar Marzia A CremonaAnup Kumar avatar Anup Kumar

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Topic Materials

Material Contributions v2 help Pre-requisites help Follow up trainings Data on Zenodo Notebook Server Compatibility
Foundational Aspects of Machine Learning using Python
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
Optimizing DNA Sequences for Biological Functions using a DNA LLM
Identifing Survival Markers of Brain tumor with Flexynesis
Modeling Breast Cancer Subtypes with Flexynesis
Prepare Data from CbioPortal for Flexynesis Integration
Unsupervised Analysis of Bone Marrow Cells with Flexynesis
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
Neural networks using Python
Deep Learning (without Generative Artificial Intelligence) using Python
Regulations/standards for AI using DOME

Topic Workflows

Material Workflow Updated Version Tests Reports Comments
Identifing Survival Markers of Brain tumor with Flexynesis Final - Survival Markers of Lower Grade Aug 25, 2025 1
Modeling Breast Cancer Subtypes with Flexynesis Final - Modeling Breast Cancer Subtypes + TABPFN Aug 25, 2025 1
Prepare Data from CbioPortal for Flexynesis Integration Flexynesis - get data from Cbioportal Aug 25, 2025 1
Unsupervised Analysis of Bone Marrow Cells with Flexynesis Final - Unsupervised Analysis of Bone Marrow Cells Aug 25, 2025 1
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy gpu_jupytool Aug 25, 2025 1
Age prediction using machine learning Age Prediction DNA Methylation Aug 25, 2025 6
Age prediction using machine learning Age Prediction RNA-Seq Aug 25, 2025 6
Basics of machine learning Machine Learning Aug 25, 2025 5
Building the LORIS LLR6 PanCancer Model Using PyCaret Ludwig - Image recognition model - MNIST Aug 25, 2025 1
Classification in Machine Learning ml_classification Aug 25, 2025 3
Clustering in Machine Learning Clustering in Machine Learning Aug 25, 2025 2
Deep Learning (Part 1) - Feedforward neural networks (FNN) Intro_To_FNN_v1_0_10_0 Aug 25, 2025 1
Deep Learning (Part 2) - Recurrent neural networks (RNN) Intro_To_RNN_v1_0_10_0 Aug 25, 2025 2
Deep Learning (Part 3) - Convolutional neural networks (CNN) Intro_To_CNN_v1.0.11.0 Aug 25, 2025 1
Image classification in Galaxy with fruit 360 dataset fruit_360 Aug 25, 2025 2
Interval-Wise Testing for omics data Workflow Constructed From History 'IWTomics Workflow' Aug 25, 2025 5
Introduction to deep learning Intro_To_Deep_Learning Aug 25, 2025 1
Machine learning: classification and regression Classification LSVC Aug 25, 2025 6
Machine learning: classification and regression Regression GradientBoosting Aug 25, 2025 6
PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis papaa@0.1.9_PI3K_OG_model_tutorial Aug 25, 2025 1
Regression in Machine Learning ml_regression Aug 25, 2025 1
Text-mining with the SimText toolset Simtext training workflow Aug 25, 2025 1
Train and Test a Deep learning image classifier with Galaxy-Ludwig Ludwig - Image recognition model - MNIST Aug 25, 2025 2

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