Deciphering hierarchical organization of topologically associated domains through change-point testing

Deciphering hierarchical organization of topologically associated domains through change-point testing

Background: The nucleus of eukaryotic cells spatially packages chromosomes into a hierarchical and distinct segregation that plays critical roles in maintaining transcription regulation. High-throughput methods of chromosome conformation capture, such as Hi-C, have revealed topologically associating...

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Bibliographic Details
Main Authors: Chen, Y. (Author), Wu, Y. (Author), Xing, H. (Author), Zhang, M.Q (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
article
binomial distribution
Cell culture
cell nucleus
Cell Nucleus
Change-points
chromatin
Chromatin
Chromatin interaction
chromosome
Chromosomes
computer simulation
Computer Simulation
controlled study
gene expression regulation
Gene Expression Regulation
Generalized Likelihood Ratio Test
Generalized likelihood-ratio test
genetics
Hi-C data
Hierarchical organizations
Hierarchical TADs
High-throughput method
human
human cell
Humans
Matrix algebra
Mixture distributions
Mixtures
Negative binomial distribution
Optimal search strategy
Significance testing
simulation
Topology
Transcription
Transcription regulations
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