ProbPS

post-processor · Peak selection

ProbPS: post-processor · Peak selection. Peak selection model that quantifies how the presence of a derivative peak depends on its primary ion’s intensity, so noise can be discarded before sequencing…

Peak selection model that quantifies how the presence of a derivative peak depends on its primary ion’s intensity, so noise can be discarded before sequencing. Benchmarked on the de novo and sequence-tag performance it enables rather than on peak counts.

Kind	post-processor
Deep learning	no
Acquisition	DDA
Family	Peak selection

Paper describing it

• ProbPS: A new model for peak selection based on quantifying the dependence of the existence of derivative peaks on primary ion intensity (2011, BMC Bioinformatics, peer-reviewed)

Authors (5)

Shenghui Zhang, Yaojun Wang, Dongbo Bu, Hong Zhang (Hangzhou), Shiwei Sun

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