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README.md

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 ## Winnow General Probability Calibrator
 
-**Winnow** recalibrates confidence scores and provides FDR control for *de novo* peptide sequencing (DNS) workflows.  
-This repository hosts a pretrained, general-purpose calibrator that maps raw InstaNovo model confidences and complementary features (mass error, retention time, chimericity, beam features, Prosit features) to well-calibrated probabilities.
+[**Winnow**](https://github.com/instadeepai/winnow) recalibrates confidence scores and provides FDR control for *de novo* peptide sequencing (DNS) workflows.  
+This repository hosts a pretrained, general-purpose calibrator that maps raw [InstaNovo](https://github.com/instadeepai/instanovo) model confidences and complementary features (mass error, retention time, chimericity, beam features, Prosit features) to well-calibrated probabilities.
 
 - Intended inputs: spectrum input data and corresponding MS/MS PSM results produced by InstaNovo
 - Outputs: calibrated per-PSM probabilities in `calibrated_confidence`.