Order Statistics Provides a Theoretical Basis for Decoy-free FDR Control in Mass Spectrometry-based Proteomics

Hei Ning Lam; Dominik Madej

Order Statistics Provides a Theoretical Basis for Decoy-free FDR Control in Mass Spectrometry-based Proteomics

^*Corresponding author for this work

Department of Chemical and Biological Engineering

Research output: Contribution to conference › Conference Paper › peer-review

Original language	English
Publication status	Published - Jun 2022
Event	Hong Kong Society of Mass Spectrometry (HKSMS) Symposium 2022 and 24th Annual General Meeting (AGM) - Duration: 1 Jun 2022 → 1 Jun 2022

Conference

Conference	Hong Kong Society of Mass Spectrometry (HKSMS) Symposium 2022 and 24th Annual General Meeting (AGM)
Period	1/06/22 → 1/06/22

Access to Document

https://hdl.handle.net/1783.1/126148

Cite this

@conference{1f98ce51291a4db1bf4971d8c6f83df3,

title = "Order Statistics Provides a Theoretical Basis for Decoy-free FDR Control in Mass Spectrometry-based Proteomics",

author = "Lam, \{Hei Ning\} and Dominik Madej",

year = "2022",

month = jun,

language = "English",

note = "Hong Kong Society of Mass Spectrometry (HKSMS) Symposium 2022 and 24th Annual General Meeting (AGM) ; Conference date: 01-06-2022 Through 01-06-2022",

}