Analysis of proteomics data: block \(k\)-mean alignment
type: Item
instance of: scholarly article
title: Analysis of proteomics data: block \(k\)-mean alignment
zbMATH Open document ID: 1305.62365
DOI: 10.1214/14-EJS900A
author: Laura M. Sangalli
author: Simone Vantini
author: Piercesare Secchi
author: Mara Bernardi
published in: Electronic Journal of Statistics
publication date: 2014-11-12T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ejs/1414588154
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6368788
zbMATH Keywords: block \(k\)-mean alignment
zbMATH Keywords: registration
zbMATH Keywords: functional clustering
zbMATH Keywords: proteomics data
Wikidata QID: Q62109458
describes a project that uses: fdakma
describes a project that uses: AneuRisk65
MaRDI profile type: Publication
cites work: Analysis of proteomics data: Bayesian alignment of functions
cites work: Proteomics profiles from mass spectrometry
cites work: Analysis of proteomics data: impact of alignment on classification
cites work: Analysis of AneuRisk65 data: \(k\)-mean alignment
cites work: A Case Study in Exploratory Functional Data Analysis: Geometrical Features of the Internal Carotid Artery
cites work: \(k\)-mean alignment for curve clustering
cites work: Analysis of proteomics data: phase amplitude separation using an extended Fisher-Rao metric
OpenAlex ID: W2028975926
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description: scientific article; zbMATH DE number 6368788