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multiHIVE: Hierarchical Multimodal Deep Generative Modeling for Single-cell Multiomics

2026-06-08

Abstract excerpt

<title>Abstract</title> <p>Background: Recent advances in single-cell multiomics technologies have significantly enhanced our understanding of cellular heterogeneity by providing multiple views of a biological system. These multi-omics assays, such as CITE-seq, which profiles RNA along with surface proteins; ISSAAC-seq, which captures RNA and chromatin accessibility; and TEA-seq, which simultaneously measures RNA...

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Literature Corpus work
30e5c906-18de-558e-93bf-40712d74fdc4
DOI
10.21203/rs.3.rs-9422663/v1
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multiHIVE: Hierarchical Multimodal Deep Generative Modeling for Single-cell MultiomicsDOI 10.21203/rs.3.rs-9422663/v1
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