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

Autor: Ashuach T; Center for Computational Biology, University of California, Berkeley, CA, USA.; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA., Gabitto MI; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA. mariano.gabitto@alleninstitute.org.; Department of Statistics, University of California, Berkeley, Berkeley, CA, USA. mariano.gabitto@alleninstitute.org.; Allen Institute for Brain Science, Seattle, WA, USA. mariano.gabitto@alleninstitute.org., Koodli RV; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA., Saldi GA; Allen Institute for Brain Science, Seattle, WA, USA., Jordan MI; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA.; Department of Statistics, University of California, Berkeley, Berkeley, CA, USA., Yosef N; Center for Computational Biology, University of California, Berkeley, CA, USA. nir.yosef@weizmann.ac.il.; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA. nir.yosef@weizmann.ac.il.; Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel. nir.yosef@weizmann.ac.il.
Jazyk: angličtina
Zdroj: Nature methods [Nat Methods] 2023 Aug; Vol. 20 (8), pp. 1222-1231. Date of Electronic Publication: 2023 Jun 29.
DOI: 10.1038/s41592-023-01909-9
Abstrakt: 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 .
(© 2023. The Author(s).)
Databáze: MEDLINE
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