Network modelling of topological domains using Hi-C data

DOI10.1214/19-AOAS1244zbMath1433.62318arXiv1707.09587OpenAlexW3103942989WikidataQ99617248 ScholiaQ99617248MaRDI QIDQ2281198

Yanyan Li

Publication date: 19 December 2019

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

Full work available at URL: https://arxiv.org/abs/1707.09587

zbMATH Keywords

network modelscommunity detectionHi-C datatopologically associating domains

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10) Neural nets and related approaches to inference from stochastic processes (62M45) Topological data analysis (62R40)

Related Items (2)

Network modelling of topological domains using Hi-C data ⋮ Network modeling in biology: statistical methods for gene and brain networks

Uses Software

• TADtree
• HiFive
• MrTADFinder

Cites Work

• Spectral clustering and the high-dimensional stochastic blockmodel
• Network modelling of topological domains using Hi-C data
• A fast algorithm for matrix balancing
• A nonparametric view of network models and Newman–Girvan and other modularities

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