Probing omics data via harmonic persistent homology.

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Title: Probing omics data via harmonic persistent homology.
Authors: Gurnari D; Dioscuri Centre in Topological Data Analysis, Mathematical Institute PAN, Warsaw, Poland., Guzmán-Sáenz A; IBM Research, Yorktown Heights, NY, USA., Utro F; IBM Research, Yorktown Heights, NY, USA., Bose A; IBM Research, Yorktown Heights, NY, USA., Basu S; Department of Mathematics, Purdue University, West Lafayette, IN, USA., Parida L; IBM Research, Yorktown Heights, NY, USA. parida@us.ibm.com.
Source: Scientific reports [Sci Rep] 2025 Nov 06; Vol. 15 (1), pp. 38836. Date of Electronic Publication: 2025 Nov 06.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2045-2322
DOI:10.1038/s41598-025-12189-y