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MultiVI: deep generative model for the integration of multimodal data.

Authors :
Ashuach T
Gabitto MI
Koodli RV
Saldi GA
Jordan MI
Yosef N
Source :
Nature methods [Nat Methods] 2023 Aug; Vol. 20 (8), pp. 1222-1231. Date of Electronic Publication: 2023 Jun 29.
Publication Year :
2023

Abstract

Jointly profiling the transcriptome, chromatin accessibility and other molecular properties of single cells offers a powerful way to study cellular diversity. Here we present MultiVI, a probabilistic model to analyze such multiomic data and leverage it to enhance single-modality datasets. MultiVI creates a joint representation that allows an analysis of all modalities included in the multiomic input data, even for cells for which one or more modalities are missing. It is available at scvi-tools.org .<br /> (© 2023. The Author(s).)

Subjects

Subjects :
Models, Statistical
Transcriptome

Details

Language :
English
ISSN :
1548-7105
Volume :
20
Issue :
8
Database :
MEDLINE
Journal :
Nature methods
Publication Type :
Academic Journal
Accession number :
37386189
Full Text :
https://doi.org/10.1038/s41592-023-01909-9