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MultiVI: deep generative model for the integration of multimodal data.
- 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 :
- Models, Statistical
Transcriptome
Subjects
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