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PyProphet: Semi-supervised learning and scoring of OpenSWATH results.

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New workflow which first runs LDA and then runs XGBoost using the LDA results as the main score. This helps prevent pi0 errors that run into with XGBoost. Overall, the...

## Proteomics Dataset 16 runs, ~32K precursors (target + decoy), ~196K transitions, ~1.4M precursor features (peak-groups) ##### Command ``` /usr/bin/time pyprophet score --in merged_osw.parquet --level ms1ms2 --classifier SVM --xeval_num_iter 3...