Tutorials

On ProteomicsML you will find detailed tutorials outlining how to work the latest state-of-the-art machine learning models, and even how to turn your own raw data into a suitable format. Explore all tutorials on ProteomicsML and click the “Open in Colab” badge to interact with the notebooks in a userfriendly coding environment.

Detectability

Title Author Date
Modelling protein detectability with an MLP Eric Deutsch Jul 1, 2023
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Fragmentation

Title Author Date
NIST (part 1): Preparing a spectral library for ML Ralf Gabriels Jul 1, 2023
NIST (part 2): Traditional ML: Gradient boosting Ralf Gabriels Jul 1, 2023
NIST (part 3): Deep learning: BiLSTM Ralf Gabriels Jul 1, 2023
Prosit-style GRU with pre-annotated ProteomeTools data Siegfried Gessulat Jul 1, 2023
Raw file processing with PROSIT style annotation Tobias Greisager Rehfeldt Jul 1, 2023
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Ion mobility

Title Author Date
Predicting CCS values for TIMS data Robbin Bouwmeester Jul 1, 2023
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Retention time

Title Author Date
DLOmix embedding of Prosit model on ProteomeTools data Tobias Greisager Rehfeldt Jul 1, 2023
Manual embedding of Bi-LSTM model on ProteomeTools data Tobias Greisager Rehfeldt Jul 1, 2023
Preparing a retention time data set for machine learning Robbin Bouwmeester Jul 1, 2023
Transfer learning with DeepLC Robbin Bouwmeester Jul 1, 2023
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