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Decoding of persistent multiscale structures in complex biological networks.

Authors
  • Zheng, Fan
  • Zhang, She
  • Churas, Christopher
  • Pratt, Dexter
  • Bahar, Ivet
  • Ideker, Trey
Type
Published Article
Journal
bioRxiv : the preprint server for biology
Publication Date
Jun 18, 2020
Identifiers
DOI: 10.1101/2020.06.16.151555
PMID: 32587977
Source
Medline
Language
English
License
Unknown

Abstract

Networks of genes, proteins, and cells exhibit significant multiscale organization, with distinct communities appearing at different spatial resolutions. Here, we apply the concept of 'persistent homology' to identify network communities that persist within defined scale ranges, yielding a hierarchy of robust structures in data. Application to mouse single-cell transcriptomes significantly expands the catalog of cell types identified by current tools, while analysis of SARS-COV-2 networks suggests pro-viral hijacking of WNT.

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