Nature Methods · 2023 · 315 citations · 33 references
Life SciencesBioinformaticsCell BiologyComputational BiologyGene ExpressionGenomic Data AnalysisGenomic Data IntegrationMultimodal PhenotypingSingle-cell AnalysisSingle-cell EpigenomicsSingle-cell GenomicsSingle-cell TranscriptomicsChromatin AccessibilityIntegration Of Multiple DatasetsIntegration Of Single-cell DatasetsJoint Representation LearningMulti-modal Data IntegrationMulti-modal Representation LearningMulti-modal Single-cell AnalysisMultimodal Feature Representation
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 .
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Integrated analysis of multimodal single-cell data
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mRNA-Seq whole-transcriptome analysis of a single cell
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