Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation

Persistent spectral simplicial complex-based machine learning for chromosomal structural analysis in cellular differentiation

The three-dimensional (3D) chromosomal structure plays an essential role in all DNA-templated processes, including gene transcription, DNA replication and other cellular processes. Although developing chromosome conformation capture (3C) methods, such as Hi-C, which can generate chromosomal contact...

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Bibliographic Details
Main Authors: Gong, Weikang, Wee, Junjie, Wu, Min-Chun, Sun, Xiaohan, Li, Chunhua, Xia, Kelin
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2023
Subjects:
Science::Mathematics
Hi-C Data
Hodge Laplacian
Persistent Spectral Simplicial Complex
Chromosomal Featurization
Machine Learning
Online Access:https://hdl.handle.net/10356/168972
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/168972

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