Training materials
Contributors: Manimozhiyan Arumugam or Celia van Gelder or Marek Vrbacky or Jamie Edwards or PhD BSc FSB or Dr. Sean I O’Donoghue or Lieven Clement or Martina Kutmon or Alireza Khanteymoori
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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 -
Documentation, Exercise, Handout, Scripts
PDA19 - Proteomics Data Analysis (2019)
•• intermediateProteomics Biological databases Mass spectrometry data -
Documentation, Exercise, Handout, Scripts
PDA18 - Proteomics Data Analysis (2018)
•• intermediateProteomics Biological databases Mass spectrometry data -
Documentation, Exercise, Handout, Scripts
PSLS20 - Practical Statistics for the Life Sciences (2020)
•• intermediateStatistics General Linear Models -
Bioinformatics Summer School 2019
•• intermediateProteomics RNA-Seq Omics Statistics and probability Data handling -
A network biology workflow to study transcriptomics data of the diabetic liver
• beginnerBiological networks Network Visualization
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