Training materials
Contributors: Delphine Lariviere or Dr. Nils Gehlenborg or Eija Korpelainen or Gildas Le Corguillé or Jean-François Dufayard or Joachim Wolff or Kaivan Kamali
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hands-on tutorial
Deep Learning (Part 1) - Feedforward neural networks (FNN)
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Deep Learning (Part 3) - Convolutional neural networks (CNN)
• beginnerStatistics and probability Statistics and machine learning -
slides
Image classification in Galaxy with fruit 360 dataset
• beginnerStatistics and probability Statistics and machine learning -
slides
Convolutional neural networks (CNN) Deep Learning - Part 3
• beginnerStatistics and probability Statistics and machine learning -
slides
Feedforward neural networks (FNN) Deep Learning - Part 1
• beginnerStatistics and probability Statistics and machine learning -
slides
Introduction to 'Metabolomics'
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hands-on tutorial
Mapping
• beginnerSequence analysis Mapping -
slides
Mapping
• beginnerSequence analysis -
slides
Introduction to 'Epigenetics'
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Slides
FAIR data - Module 4 (share and publish data)
• beginnerBioinformatics Biology Data management data sharing Data publishing legal framework data warehouse licensing data reuse