Training materials
Difficulty level: Intermediate
and Contributors: Anna Fotaki or Fabio Cumbo or Lieven Clement or Manimozhiyan Arumugam or Martin Hubalek or Vicky Schneider
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hands-on tutorial
Supervised Learning with Hyperdimensional Computing
•• intermediateStatistics and probability Statistics and machine learning -
Slides, course materials, hands-on tutorial
Organisation and utilisation of hologenomic datasets – course notes
•• intermediateMetatranscriptomics Sample collections Metabolomics Metagenomics hologenomics metagenomics MGnify Workshop -
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 -
Text-mining exercises
•• intermediateMicrobial ecology Metagenomics Natural language processing Data mining