Overview#
Welcome to multiHIVE’s documentation!#
multiHIVE multiHIVE, a hierarchical multimodal deep generative model for inferring cellular embeddings by integrating CITE-seq data modalities. multiHIVE employs hierarchically stacked latent variables as well as modality-specific latent variables to capture shared and private information from the modalities respectively, facilitating integration, denoising and protein imputation and integration of CITE-seq dataset with unimodal dataset. The factorization of multiHIVE-inferred denoised expression into gene expression programs aids in identifying biological processes at multiple levels of cellular hierarchy.
Cite this article#
multiHIVE: Hierarchical Multimodal Deep Generative Model for Single-cell Multiomics Integration Anirudh Nanduri*, Musale Krushna Pavan*, Kushagra Pandey, Hamim Zafar bioRxiv 2025.01.28.635222; doi: https://doi.org/10.1101/2025.01.28.635222 *Equal contribution