A statistical pipeline for identifying physical features that differentiate classes of 3D shapes

DOI10.1214/20-AOAS1430zbMath1478.62390OpenAlexW3178749066MaRDI QIDQ2245140

Bruce Wang, Tingran Gao, Timothy Sudijono, Lorin Crawford, Douglas M. Boyer, Sayan Mukherjee, Henry Kirveslahti

Publication date: 15 November 2021

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/20-aoas1430

zbMATH Keywords

Gaussian processestopological data analysisevolutionary biologyphylogeneticscentrality measures3D image analysis

Mathematics Subject Classification ID

Gaussian processes (60G15) Applications of statistics to biology and medical sciences; meta analysis (62P10) Problems related to evolution (92D15) Image analysis in multivariate analysis (62H35) Topological data analysis (62R40)

Related Items (3)

How Many Directions Determine a Shape and other Sufficiency Results for Two Topological Transforms ⋮ Using persistent homology topological features to characterize medical images: case studies on lung and brain cancers ⋮ SINATRA

Uses Software

• RGL
• glmnet
• rgl
• gglasso
• Rvcg
• FastGP
• SECT
• ShapeWorks
• Morpho

Cites Work

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