multiVIB: A unified probabilistic contrastive learning framework for atlas-scale integration of single-cell multi-omics data.
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| Title: | multiVIB: A unified probabilistic contrastive learning framework for atlas-scale integration of single-cell multi-omics data. |
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| Authors: | Xu Y; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA., Fleming SJ; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA., Wang B; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA., Schoenbeck EG; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA., Babadi M; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA., Huo BX; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2025 Dec 01. Date of Electronic Publication: 2025 Dec 01. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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