Single-cell data integration across weakly linked modalities.

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Bibliographic Details
Title: Single-cell data integration across weakly linked modalities.
Authors: Zhou Z; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China., Zhang Y; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China., Dai Z; School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China.
Source: PLoS computational biology [PLoS Comput Biol] 2026 May 05; Vol. 22 (5), pp. e1014231. Date of Electronic Publication: 2026 May 05 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1553-7358
DOI:10.1371/journal.pcbi.1014231