Analysis of proteomics data: Bayesian alignment of functions

DOI10.1214/14-EJS900CzbMath1305.62366OpenAlexW2008360911WikidataQ58419208 ScholiaQ58419208MaRDI QIDQ470441

David B. Hitchcock, Huiling Le, Wen Cheng, Ian L. Dryden

Publication date: 12 November 2014

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1414588156

zbMATH Keywords

warpGaussian processMarkov chain Monte CarloGibbs samplerambient spaceregistrationDirichletquotient spaceFisher-Rao

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (5)

Optimal Reparametrizations in the Square Root Velocity Framework ⋮ Analysis of proteomics data: block \(k\)-mean alignment ⋮ Rejoinder: Analysis of proteomics data ⋮ Analysis of spike train data: classification and Bayesian alignment ⋮ Bayesian registration of functions and curves

Cites Work

• Proteomics profiles from mass spectrometry
• Bayesian registration of functions and curves
• Interpolation of spatial data. Some theory for kriging

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