MultiVI: deep generative model for the integration of multi-modal data

Tal Ashuach, Mariano Gabitto, Michael Jordan, Nir Yosef

Research output: Contribution to journalArticle

Abstract

Jointly profiling the transcriptional and chromatin accessibility landscapes of single-cells is a powerful technique to characterize cellular populations. Here we present MultiVI, a probabilistic model to analyze such multiomic data and integrate it with single modality datasets. MultiVI creates a joint representation that accurately reflects both chromatin and transcriptional properties of the cells even when one modality is missing. It also imputes missing data, corrects for batch effects and is available in the scvi-tools framework: https://docs.scvi-tools.org/.
Original languageEnglish
Number of pages27
JournalbioRxiv
StateIn preparation - 20 Aug 2021
Externally publishedYes

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