Training materials
Difficulty level: Intermediate
and Contributors: Alireza Khanteymoori or Emma Leith or Fotis E. Psomopoulos or Lieven Clement or Michael Parkin
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hands-on tutorial
Hands-on for 'Introduction to Machine Learning using R' tutorial
•• intermediateStatistics and probability statistics interactive-tools -
hands-on tutorial
Hands-on for 'metaQuantome 3: Taxonomy' tutorial
•• intermediateProteomics proteomics microbiome -
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 'Plotting in Python' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Advanced R in Galaxy' tutorial
•• intermediateSoftware engineering data-science R -
hands-on tutorial
Hands-on for 'Advanced Python' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
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
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