Analysis of proteomics data: block \(k\)-mean alignment

DOI10.1214/14-EJS900AzbMath1305.62365OpenAlexW2028975926WikidataQ62109458 ScholiaQ62109458MaRDI QIDQ470436

Laura M. Sangalli, Simone Vantini, Piercesare Secchi, Mara S. Bernardi

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/1414588154

zbMATH Keywords

registrationblock \(k\)-mean alignmentfunctional clusteringproteomics data

Mathematics Subject Classification ID

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

Related Items (3)

Analysis of proteomics data: impact of alignment on classification ⋮ Rejoinder: Analysis of proteomics data ⋮ Analysis of AneuRisk65 data: \(k\)-mean alignment

Uses Software

• fdakma
• AneuRisk65

Cites Work

• Proteomics profiles from mass spectrometry
• Analysis of proteomics data: phase amplitude separation using an extended Fisher-Rao metric
• Analysis of proteomics data: Bayesian alignment of functions
• Analysis of proteomics data: impact of alignment on classification
• Analysis of AneuRisk65 data: \(k\)-mean alignment
• \(k\)-mean alignment for curve clustering
• A Case Study in Exploratory Functional Data Analysis: Geometrical Features of the Internal Carotid Artery

This page was built for publication: Analysis of proteomics data: block \(k\)-mean alignment