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ProteomeTools - Prosit iRT - Data (update) // missing c + splitting

Authors: Schmidt, Tobias;

ProteomeTools - Prosit iRT - Data (update) // missing c + splitting

Abstract

The original Prosit iRT dataset missed ProteomeTools sequences containing cysteine.We applied now the same criteria as in the original publicationData for learning was restricted to peptides identified with a minimum MaxQuant score of 70 and an iRT variance between different ProteomeTools runs of less than 1.iRT values are the same as in the publication, the scaled values can differ as the normalization function is now applied on a different data range.Please be aware that the original iRT model error can not be achieved as their was train/validation leakage. Therefore please don`t compare to the reported validation error of the weight file. The overall performance stays similar when using the new data.Sry for the inconvenience.The model trained on the original data will stay on the prosit website for fair comparison to the publication.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average