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Multi-Omic Single-Cell Integration

Definition
AI-generated

Multi-omic single-cell integration jointly models two or more modalities measured in the same cells or linked aliquots—e.g. RNA plus chromatin accessibility, surface proteins, or methylation—using factor models, deep generative frameworks, or graph-based fusion.

Topics
Single-cell analysis
Related
Multi-Omics Chromatin Immunoprecipitation Sequencing (ChIP-seq) Disentangled Representation Learning

Why it matters in GWAS

Regulatory interpretation of noncoding hits often needs both expression and accessibility (or 3D contact) in matched cells; integrated references improve cell-type definitions and program discovery for single-cell GWAS enrichment and colocalization follow-up.

Example usage

"Downstream interpretation uses Multi-Omic Single-Cell Integration to link statistical findings to biological context."

Multi-Omics Chromatin Immunoprecipitation Sequencing (ChIP-seq) Disentangled Representation Learning Gene Regulatory Network Inference Single-Cell GWAS Integration Single-Cell Sequencing Spatial Transcriptomics
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Argelaguet R, et al. (2020). MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data. Genome Biol.
  • Dimitrov D, Schrod S, Rohbeck M, et al. (2026). Interpretation, extrapolation and perturbation of single cells. Nat Rev Genet. https://doi.org/10.1038/s41576-025-00920-4
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