Topological Data Analysis and its usefulness for precision medicine studies

DOI10.2436/20.8080.02.120zbMath1491.62166OpenAlexW4313308432MaRDI QIDQ5093440

Ewan Carr, Fréderic Chazal, Naya Yerolemou, Raquel Iniesta, Bertrand Michel, Mathieu Carrière

Publication date: 26 July 2022

Full work available at URL: https://hal.inria.fr/hal-03912322

zbMATH Keywords

topologymachine learningtopological data analysispersistence diagramprecision medicinepersistence landscapesmapperdata shape

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Statistical aspects of big data and data science (62R07) Topological data analysis (62R40)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Rates of convergence for robust geometric inference
• \textsc{Phat} -- persistent homology algorithms toolbox
• Stability of persistence diagrams
• Structure and stability of the one-dimensional Mapper
• Computing persistent homology
• Book review of: P. Tretkoff, Periods and special functions in transcendence
• Topology and data
• Statistical Analysis and Parameter Selection for Mapper
• Local Equivalence and Intrinsic Metrics between Reeb Graphs
• Statistical topological data analysis using persistence landscapes

This page was built for publication: Topological Data Analysis and its usefulness for precision medicine studies