Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This pull request introduces a new plasma quantification benchmarking module (PYE) to the codebase, The most important changes are summarized below.
Quantification Datapoint Enhancements:
QuantDatapointPYEclass, a new data structure for plasma (PYE) quantification benchmarking, extendingQuantDatapointHYEwith plasma-specific metrics such as spike-in error, quantification depth, dynamic range, and accuracy for human plasma. This includes methods for generating datapoints and computing plasma-specific metrics at various observation thresholds.QuantDatapointHYEto make metric calculation more flexible, allowing the maximum number of observed precursors (max_nr_observed) to be specified and defaulting to 6 if not provided. [1] [2] [3]get_epsilon_metrics,get_precision_metrics,get_cv_metrics, andget_metrics), improving modularity and making them easier to extend for new module types. [1] [2] [3]