Training materials
Difficulty level: Intermediate
and Contributors: Daniel Blankenberg or David Bouyssié or Dr. Nils Gehlenborg or Eija Korpelainen @eija, ekorpelainen@gmail.com or Fotis E. Psomopoulos or Kaivan Kamali
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hands-on tutorial
Hands-on for 'Introduction to Machine Learning using R' tutorial
•• intermediatestatistics interactive-tools -
hands-on tutorial
Peptide Library Data Analysis
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'Machine Learning Modeling of Anticancer Peptides' tutorial
•• intermediateproteomics ML cancer -
hands-on tutorial
Hands-on for 'Plotting in Python' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Advanced R in Galaxy' tutorial
•• intermediatedata-science R -
hands-on tutorial
Hands-on for 'Advanced Python' tutorial
•• intermediatedata-science jupyter-notebook -
Documentation, Exercise, Handout, Scripts
IBIP19 - Integrative Biological Interpretation using Proteomics (2019)
•• intermediateProteomics