Pipelines & Workflow Elements
Darwin Pyprophet Tool
Semi-supervised learning FDR estimation for DIA proteomics with PyProphet: score-based filtering and multi-run alignment of OpenSWATH results
RunnableWorkflow
Catalog entry
About this entry
Semi-supervised learning FDR estimation for DIA proteomics with PyProphet: score-based filtering and multi-run alignment of OpenSWATH results Steps: Step 1: Load OpenSWATH OSW Files; Step 2: Semi-supervised Scoring and FDR Control; Step 3: Export FDR-Filtered Results. Verticals: proteomics.
Use in DarwinOmics
How to use it
Use this workflow element when the submitted analysis needs a multi-step execution path, imported workflow, Darwinomics wrapper, or workflow-scale comparison rather than a single module.