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Poster presentation
P-II-0473

A Shrinkage-based statistical method for testing group mean differences in quantitative bottom-up proteomics

Appointment

Date: Tue, Oct 22

Time: 13:00 – 13:00

Talk time: 0 Min.

Discussion time: 0 Min.

Location / Stream:

New Technology: AI and Bioinformatics in Mass Spectrometry

Poster

A Shrinkage-based statistical method for testing group mean differences in quantitative bottom-up proteomics

Session

New Technology: AI and Bioinformatics in Mass Spectrometry

Topic

New Technology: AI and Bioinformatics in Mass Spectrometry

Authors

Namgil Lee (Seoul / KR; Chuncheon / KR), Hojin Yoo (Seoul / KR), Heejung Yang (Seoul / KR; Chuncheon / KR), Juhyeong Kim (Chuncheon / KR)

Abstract

A statistical method for testing group mean differences in quantitative bottom-up proteomics is proposed. A probabilistic graphical model is introduced that explains the performance degradation of traditional statistical testing methods by random variations in ionization efficiency. The proposed method enhances a traditional feature-based test statistic by integrating nonparametric shrinkage estimation of covariance matrices and bootstrap estimation of degrees-of-freedom. Numerical experiments, based on simulated and real quantitative tandem mass spectrometry data, illustrate that the proposed method surpasses traditional statistical methods in specificity and sensitivity, particularly under conditions of small sample sizes.