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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.
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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PubType: Academic Journal
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  Data: multiVIB: A unified probabilistic contrastive learning framework for atlas-scale integration of single-cell multi-omics data.
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  Data: <searchLink fieldCode="AU" term="%22Xu+Y%22">Xu Y</searchLink>; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA.<br /><searchLink fieldCode="AU" term="%22Fleming+SJ%22">Fleming SJ</searchLink>; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA.<br /><searchLink fieldCode="AU" term="%22Wang+B%22">Wang B</searchLink>; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA.<br /><searchLink fieldCode="AU" term="%22Schoenbeck+EG%22">Schoenbeck EG</searchLink>; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA.<br /><searchLink fieldCode="AU" term="%22Babadi+M%22">Babadi M</searchLink>; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA.<br /><searchLink fieldCode="AU" term="%22Huo+BX%22">Huo BX</searchLink>; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA.
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  Data: <searchLink fieldCode="JN" term="%22101680187%22">BioRxiv : the preprint server for biology</searchLink> [bioRxiv] 2025 Dec 01. <i>Date of Electronic Publication: </i>2025 Dec 01.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101680187 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2692-8205 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226928205%22">26928205 </searchLink><i>NLM ISO Abbreviation: </i>bioRxiv <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1101/2025.11.29.691308
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        Text: English
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      – TitleFull: multiVIB: A unified probabilistic contrastive learning framework for atlas-scale integration of single-cell multi-omics data.
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              Text: 2025 Dec 01
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