Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data

DOI10.1214/21-AOAS1520zbMath1498.62250OpenAlexW4220898110MaRDI QIDQ2135388

So Young Ryu

Publication date: 6 May 2022

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/21-aoas1520

zbMATH Keywords

mixture modelmass spectrometrybacterial identificationlikelihood-based scoring approach

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Related Items (1)

BacID

Uses Software

• GitHub
• MGMS2

Cites Work

• A likelihood-based scoring method for peptide identification using mass spectrometry
• The EM Algorithm and Extensions, 2E
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