Training materials
Contributors: Celia van Gelder or Marek Vrbacky or Jamie Edwards or PhD BSc FSB or Dr. Sean I O’Donoghue or Stephen Taylor or Koen Van den Berge or Paul Yorke or David Bouyssié or Kaivan Kamali
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hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
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slides
Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 3) - Convolutional neural networks (CNN)' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 1) - Feedforward neural networks (FNN)' tutorial
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slides
Slides for 'Image classification in Galaxy with fruit 360 dataset' tutorial
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slides
Slides for 'Convolutional neural networks (CNN) Deep Learning - Part 3' tutorial
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slides
Slides for 'Feedforward neural networks (FNN) Deep Learning - Part 1' tutorial
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Documentation, Exercise, Handout, Scripts
IBIP19 - Integrative Biological Interpretation using Proteomics (2019)
•• intermediateProteomics -
Bioinformatics Summer School 2019
•• intermediateProteomics RNA-Seq Omics Statistics and probability Data handling
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