Training materials
Target audience: Life sciences or Students or beginner bioinformaticians
and Contributors: David Christiany or Kaivan Kamali or Marie Crane
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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 'Biomarker candidate identification' tutorial
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hands-on tutorial
Hands-on for 'metaQuantome 3: Taxonomy' tutorial
•• intermediateProteomics proteomics microbiome -
hands-on tutorial
Hands-on for 'Annotating a protein list identified by LC-MS/MS experiments' tutorial
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hands-on tutorial
Hands-on for 'metaQuantome 2: Function' tutorial
•• intermediateProteomics proteomics microbiome -
hands-on tutorial
Hands-on for 'metaQuantome 1: Data creation' tutorial
•• intermediateProteomics proteomics microbiome -
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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