HiDeF: identifying persistent structures in multiscale 'omics data.
Ontology highlight
ABSTRACT:
SUBMITTER: Zheng F
PROVIDER: S-EPMC7789082 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
Publications
HiDeF: identifying persistent structures in multiscale 'omics data.
Zheng Fan F Zhang She S Churas Christopher C Pratt Dexter D Bahar Ivet I Ideker Trey T
Genome biology 20210107 1
In any 'omics study, the scale of analysis can dramatically affect the outcome. For instance, when clustering single-cell transcriptomes, is the analysis tuned to discover broad or specific cell types? Likewise, protein communities revealed from protein networks can vary widely in sizes depending on the method. Here, we use the concept of persistent homology, drawn from mathematical topology, to identify robust structures in data at all scales simultaneously. Application to mouse single-cell tra ...[more]
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