You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
A large benchmarking study is trying out proteomicslfq together with pmultiqc.
They are looking for a list of metrics. Maybe some of them could be directly added to pmultiqc.
What do you think? I am happy to help with where to get the data from and already made some comments in the Document.
I think some of the metrics are already in there by now.
I am not sure about the ground-truth metrics, since they are of course specific to certain datasets but in theory, we could create a GitHub repo in a standardized way with expected fold changes or concentrations with reference to the sample names in the SDRF. Then pmultiqc could check if a ground-truth annotation is available for this dataset and add additional metrics.
The text was updated successfully, but these errors were encountered:
@jpfeuffer I read the document in the morning and is quite difficult to follow. I think is better in this thread here to discuss the metrics with the following structure:
Proposed metric:
Name of the metric and section in the pmultiqc
How to compute the metric for proteomicsLFQ and proteomicsTMT
How to visualize the metric.
In this way we can discuss easily the metrics to be added and is more clear for the students.
A large benchmarking study is trying out proteomicslfq together with pmultiqc.
They are looking for a list of metrics. Maybe some of them could be directly added to pmultiqc.
https://docs.google.com/spreadsheets/d/1azv3MlW5PwDBBtIqXoTFrg00nI-5TIVrx1gKLMl81G0/edit?usp=sharing
What do you think? I am happy to help with where to get the data from and already made some comments in the Document.
I think some of the metrics are already in there by now.
I am not sure about the ground-truth metrics, since they are of course specific to certain datasets but in theory, we could create a GitHub repo in a standardized way with expected fold changes or concentrations with reference to the sample names in the SDRF. Then pmultiqc could check if a ground-truth annotation is available for this dataset and add additional metrics.
The text was updated successfully, but these errors were encountered: