ArticleGenome biology2020
MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data.
Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 613 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
613 citing papers in PubMed.
- Prolonged survival after systemic immune reactivation by aglatimagene besadenovec plus valacyclovir in immune checkpoint inhibitor-refractory non-small cell lung cancer.Journal for immunotherapy of cancer · 2026Trial
- Microbiome signatures correlate with diet-mediated ADHD symptom reduction.Gut microbes · 2026Article
- Multiomics insights into the effects of prebiotics on physical function and metabolism in adults with obesity and knee osteoarthritis.Gut microbes · 2026Article
- Article
- Flexible Integration of Structurally Diverse Spatial Multi-Omics With AgaeSMO.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- SLC39-driven zinc influx orchestrates pleiotropic tumor-immune system cross-talk to establish immune suppression in colorectal cancer.Science advances · 2026Article
- Single-cell and spatial RNA sequencing in prostate cancer.Nature reviews. Urology · 2026Review
- The dual-enhanced graph learning framework DePass allows paired data integration in single-cell and spatial multiomics.Nature cell biology · 2026Article
- Unifying multimodal single-cell data with a mixture-of-experts β-variational autoencoder framework.Genome research · 2026Article
- Diagnosing Anaerobic Digesters' Function and Performance: From Meta-Omics to Integrated Meta-Omics Analyses.Environmental microbiology reports · 2026Review
- Multi-omics integration of proteomics and metabolomics in pediatric health and disease.Communications medicine · 2026Review
- Personalized single-cell transcriptomics reveals molecular diversity in Alzheimer's disease.Nature communications · 2026Article
- Overview of molecular mechanisms underlying stress responses; signaling pathways and secondary metabolite synthesis in plants.Plant molecular biology · 2026Review
- Multi-omics integration and artificial intelligence for the conservation and utilization of local chicken genetic resources.Poultry science · 2026Review
- SMORE: joint dimension reduction and cell population discovery on single-cell methylome data.bioRxiv : the preprint server for biology · 2026Article
- Flow Orchestrated Regulatory Genomics Engine (FORGE): A Configurable Nextflow Pipeline for End-to-End snMultiome Analysis.bioRxiv : the preprint server for biology · 2026Article
- Pan-genomics and multi-omics for deciphering genetic variation and accelerating genetic improvement in ruminant livestock.Functional & integrative genomics · 2026Review
- TMO-Net+: An Enhanced Tumor Multi-Omics Pre-Trained Network for Multi-Task Learning in Oncology.Genes · 2026Article
- PlantCCC prioritizes context-specific candidate ligand-receptor communication patterns in plant spatial transcriptomics.Plant molecular biology · 2026Article
- Reversing the pipeline: a 'human-first' multi-omics approach to cardiovascular discovery.Experimental & molecular medicine · 2026Review
553 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Technological advances have enabled the profiling of multiple molecular layers at single-cell resolution, assaying cells from multiple samples or conditions. Consequently, there is a growing need for computational strategies to analyze data from complex experimental designs that include multiple data modalities and multiple groups of samples. We present Multi-Omics Factor Analysis v2 (MOFA+), a statistical framework for the comprehensive and scalable integration of single-cell multi-modal data. MOFA+ reconstructs a low-dimensional representation of the data using computationally efficient variational inference and supports flexible sparsity constraints, allowing to jointly model variation across multiple sample groups and data modalities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.