Analysis of proteomics data: phase amplitude separation using an extended Fisher-Rao metric

DOI10.1214/14-EJS900BzbMath1305.62380OpenAlexW1969923700MaRDI QIDQ470438

J. Derek Tucker, Anuj Srivastava, Wei Wu

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/1414588155

zbMATH Keywords

functional data analysisamplitude variabilityfunction principal component analysisphase variability

Mathematics Subject Classification ID

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

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: alignment and comparisons using the extended Fisher-Rao metric ⋮ Statistical Analysis of Trajectories of Multi-Modality Data

Uses Software

• fdasrvf

Cites Work

• Generative models for functional data using phase and amplitude separation
• Proteomics profiles from mass spectrometry
• Analysis of spike train data: alignment and comparisons using the extended Fisher-Rao metric
• Smoothing under Diffeomorphic Constraints with Homeomorphic Splines

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