Training materials
Target audience: Biomedical researchers or Students or beginner bioinformaticians or modelers or service administrators in organizations that wa...
and Authors: Anup Kumar or Daniel Blankenberg
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hands-on tutorial
Fine tune large protein model (ProtTrans) using HuggingFace
• beginnerStatistics and probability Statistics and machine learning deep-learning dephosphorylation-site-prediction fine-tuning interactive-tools jupyter-lab machine-learning -
hands-on tutorial
From NCBI's Sequence Read Archive (SRA) to Galaxy: SARS-CoV-2 variant analysis
• beginnerGenetic variation Variant Analysis covid19 one-health virology -
hands-on tutorial
Pre-processing of 10X Single-Cell RNA Datasets
• beginnerTranscriptomics 10x Single Cell -
hands-on tutorial
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
• beginnerStatistics and probability Statistics and machine learning deep-learning image-segmentation interactive-tools jupyter-lab machine-learning protein-3D-structure -
hands-on tutorial
Hands-on for 'PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis' tutorial
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hands-on tutorial
Regression in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Classification in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Machine learning: classification and regression
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Text-mining with the SimText toolset
• beginnerStatistics and probability Statistics and machine learning interactive-tools -
hands-on tutorial
Age prediction using machine learning
• beginnerStatistics and probability Statistics and machine learning
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