Training materials
Contributors: David Bouyssié or Jean-François Dufayard or Alireza Khanteymoori or Lieven Clement
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hands-on tutorial
Hands-on for 'Classification in Machine Learning' tutorial
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hands-on tutorial
Hands-on for 'Regression in Machine Learning' tutorial
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hands-on tutorial
Hands-on for 'Clustering in Machine Learning' tutorial
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hands-on tutorial
Hands-on for 'Introduction to deep learning' tutorial
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PSLS22 Practical Statistics for the Life Sciences
•• intermediate -
Slides
FAIR data - Module 4 (share and publish data)
• beginnerBioinformatics Biology Data management data sharing Data publishing legal framework data warehouse licensing data reuse -
Slides
FAIR data - Module 3 (Metadata)
• beginnerBioinformatics Biology Data management Data handling metadata data annotation life science standards data sharing -
Slides
FAIR data - Module 1 (research data)
• beginnermetadata Data Life Cycle Reproducibility Data management plan -
Documentation, Exercise, Handout, Scripts
IBIP19 - Integrative Biological Interpretation using Proteomics (2019)
•• intermediateProteomics -
Documentation, Exercise, Handout, Scripts
PDA19 - Proteomics Data Analysis (2019)
•• intermediateProteomics Biological databases Mass spectrometry data
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