Training materials
Resource type: hands-on tutorial
and Contributors: Andrea Argentini or Dr. Alexander Lex or Fabio Cumbo or Jure Dimec or Martin Čech or Mateusz Kuzak or Matthias Fahrner or Patricia Palagi or Prof. Tom Freeman or Stephen Taylor or posit-conf-2023
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hands-on tutorial
Supervised Learning with Hyperdimensional Computing
•• intermediateStatistics and probability Statistics and machine learning -
hands-on tutorial
Hands-on for 'Galaxy Webhooks' tutorial
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hands-on tutorial
Hands-on for 'Interval-Wise Testing for omics data' tutorial
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hands-on tutorial
Hands-on for 'MaxQuant and MSstats for the analysis of TMT data' tutorial
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hands-on tutorial
Hands-on for 'Peptide and Protein Quantification via Stable Isotope Labelling (SIL)' tutorial
••• advancedproteomics DDA SILAC -
hands-on tutorial
Hands-on for 'Library Generation for DIA Analysis' tutorial
•• intermediateproteomics DIA -
hands-on tutorial
Hands-on for 'DIA Analysis using OpenSwathWorkflow' tutorial
•• intermediateproteomics DIA -
hands-on tutorial
Hands-on for 'Statistical analysis of DIA data' tutorial
•• intermediateproteomics DIA -
hands-on tutorial
Hands-on for 'MaxQuant and MSstats for the analysis of label-free data' tutorial
•• intermediateproteomics label-free -
hands-on tutorial
Hands-on for 'Label-free data analysis using MaxQuant' tutorial
• beginnerproteomics DDA label-free
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