Exploring the variability of DNA molecules via principal geodesic analysis on the shape space
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Publication:5127081
DOI10.1080/02664763.2012.704353OpenAlexW2002505402WikidataQ126126484 ScholiaQ126126484MaRDI QIDQ5127081
Publication date: 21 October 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2012.704353
principal component analysisnonlinear statisticsstatistical shape analysisprincipal geodesic analysisDNA modeling
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Long-time principal geodesic analysis in director-based dynamics of hybrid mechanical systems ⋮ Dihedral angles principal geodesic analysis using nonlinear statistics
Cites Work
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- Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces
- Statistical Analysis of Spherical Data
- Riemannian center of mass and mollifier smoothing
- Principal component analysis for Riemannian manifolds, with an application to triangular shape spaces
- Extreme Shape Analysis
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