Topological Data Analysis of Single-Cell Hi-C Contact Maps

DOI10.1007/978-3-030-43408-3_6zbMath1448.62213arXiv1812.01360OpenAlexW2903171116MaRDI QIDQ5118363

Raúl Rabadán, Mathieu Carrière

Publication date: 8 September 2020

Published in: Topological Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1812.01360

zbMATH Keywords

topological data analysisDNA folding

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Persistent homology and applications, topological data analysis (55N31) Protein sequences, DNA sequences (92D20) Topological data analysis (62R40)

Related Items

A gradient sampling algorithm for stratified maps with applications to topological data analysis ⋮ Statistical embedding: beyond principal components ⋮ Topological Data Analysis Reveals Principles of Chromosome Structure in Cellular Differentiation ⋮ Statistical analysis of Mapper for stochastic and multivariate filters

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Stability of persistence diagrams
• Extending persistence using Poincaré and Lefschetz duality
• Hierarchical Clustering for Finding Symmetries and Other Patterns in Massive, High Dimensional Datasets
• Convergence between Categorical Representations of Reeb Space and Mapper
• Topology and data
• Statistical Analysis and Parameter Selection for Mapper
• Multiscale Mapper: Topological Summarization via Codomain Covers
• Chi-Square Tests with One Degree of Freedom; Extensions of the Mantel- Haenszel Procedure

This page was built for publication: Topological Data Analysis of Single-Cell Hi-C Contact Maps