Article

Single-cell multi-omic topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures

2023-01-31

Abstract excerpt

The advent of single-cell multi-omics sequencing technology makes it possible for re-searchers to leverage multiple modalities for individual cells and explore cell heterogeneity. However, the high dimensional, discrete, and sparse nature of the data make the downstream analysis particularly challenging. Most of the existing computational methods for single-cell data analysis are either limited to single modality...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b165d30d-2b4a-5afd-b988-4650c6b01d84
DOI: 10.1101/2023.01.31.526312

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Single-cell multi-omic topic embedding reveals cell-type-specific and COVID-19 severity-related immune signaturesDOI 10.1101/2023.01.31.526312Read

scE <sup>2</sup> TM improves single-cell embedding interpretability and reveals cellular perturbation signaturesSemantic proximity Read

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic dataSemantic proximity Read

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic dataSemantic proximity Read

scGRIP: a graph-based explainable AI framework for single-cell multi-omics Gene Regulatory Inference with Prior KnowledgeSemantic proximity Read

Predicting enhancer-gene links from single-cell multi-omics data by integrating prior Hi-C informationSemantic proximity Read

MOSAIC: A Spectral Framework for Integrative Phenotypic Characterization Using Population-Level Single-Cell Multi-OmicsSemantic proximity Read

BARTsc identifies key transcriptional regulators from single-cell omics dataSemantic proximity Read

Latent disease similarities and therapeutic repurposing possibilities uncovered by multi-modal generative topic modeling of human diseasesSemantic proximity Read

A Regularized Bayesian Dirichlet-multinomial Regression Model for Integrating Single-cell-level Omics and Patient-level Clinical Study DataSemantic proximity Read

CAPTAIN: A multimodal foundation model pretrained on co-assayed single-cell RNA and proteinSemantic proximity Read

HALO: Hierarchical Causal Modeling for Single Cell Multi-Omics DataSemantic proximity Read

Tree-structured topic modelling of single-cell gene expression data uncovers hierarchical relationships between immune cell typesSemantic proximity Read