Training materials
Scientific topics: Gaussian processes or Proteomics
and Target audience: All postgraduates or Clinical Scientists or Healthcare or Research Scientists or Students or postgrad
-
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
Clinical-MP-3-Verification
• beginnerProteomics label-TMT11 -
hands-on tutorial
Clinical-MP-4-Quantitation
• beginnerProteomics label-TMT11 -
hands-on tutorial
Clinical-MP-5-Data Interpretation
• beginnerProteomics label-TMT11 -
hands-on tutorial
Clinical-MP-2-Discovery
• beginnerProteomics label-TMT11 -
hands-on tutorial
Clinical-MP-1-Database-Generation
• beginnerProteomics label-TMT11 -
slides
Introduction to proteomics, protein identification, quantification and statistical modelling
• beginnerProteomics -
hands-on tutorial
Supervised Learning with Hyperdimensional Computing
•• intermediateStatistics and probability Statistics and machine learning -
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
Regression in Machine Learning
• beginnerStatistics and probability Statistics and machine learning