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Add suppot for crosslinking mass spectrometry experiments #28
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jspaezp
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Jun 21, 2024
- Remove test_cli_pepxml because xml files don't work with streaming - Replace old output file names - Add random generator 'rng' variable to confidence since it is required for proteins - Remove subset_max_train from PluginModel - Fix bug: convert targets column after reading in chunks - Fix peptide column name for confidence - Fix test cli plugins : replace DecisionTreeClassifier with LinearSVC BECAUSE DecisionTreeClassifier return scores as 0 or 1
jspaezp
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Jun 21, 2024
- Remove test_cli_pepxml because xml files don't work with streaming - Replace old output file names - Add random generator 'rng' variable to confidence since it is required for proteins - Remove subset_max_train from PluginModel - Fix bug: convert targets column after reading in chunks - Fix peptide column name for confidence - Fix test cli plugins : replace DecisionTreeClassifier with LinearSVC BECAUSE DecisionTreeClassifier return scores as 0 or 1
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In crosslinking mass spectrometry experiments, we try to detect two peptides that are covalently linked from a single MS2 spectrum. Because the pairs can take various forms (target-target, target-decoy, decoy-decoy), a different approach to estimating FDR is needed.
This PR implements the approach from Walzthoeni et al by adding the
CrosslinkPsmDataset
andCrosslinkConfidence
classes to mokapot!There's still a bit to do: