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MultiVI: deep generative model for the integration of multimodal data

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 cr...

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Detalles Bibliográficos
Autores principales: Ashuach, Tal, Gabitto, Mariano I., Koodli, Rohan V., Saldi, Giuseppe-Antonio, Jordan, Michael I., Yosef, Nir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406609/
https://www.ncbi.nlm.nih.gov/pubmed/37386189
http://dx.doi.org/10.1038/s41592-023-01909-9
Descripción
Sumario: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.