2025
scMODAL: a general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links
Wang G, Zhao J, Lin Y, Liu T, Zhao Y, Zhao H. scMODAL: a general deep learning framework for comprehensive single-cell multi-omics data alignment with feature links. Nature Communications 2025, 16: 4994. PMID: 40442129, PMCID: PMC12122792, DOI: 10.1038/s41467-025-60333-z.Peer-Reviewed Original ResearchConceptsDeep learning frameworkSingle-cell multi-omics researchSingle-cell multi-omics dataLearning frameworkMulti-omics dataGenerative adversarial networkSingle-cell technologiesData alignmentSingle-cell resolutionMulti-omics researchDownstream analysisCellular statesOmics datasetsAdversarial networkNeural networkProteomic profilingCorrelated featuresBiological informationOmics perspectiveDiverse datasetsFeature topologyDisease mechanismsCell embeddingData resourcesRelationship inference
2024
Knowledge-guided learning methods for integrative analysis of multi-omics data
Li W, Ballard J, Zhao Y, Long Q. Knowledge-guided learning methods for integrative analysis of multi-omics data. Computational And Structural Biotechnology Journal 2024, 23: 1945-1950. PMID: 38736693, PMCID: PMC11087912, DOI: 10.1016/j.csbj.2024.04.053.Peer-Reviewed Original ResearchAnalysis of multi-omics dataIntegrative analysis of multi-omics dataMulti-omics dataMulti-omics data integration methodBiological knowledgeMulti-omics data integrationMulti-omics data analysisMulti-omics studiesIntegrated analysisFunctional genomicsFunctional proteomicsData integration methodsComplex diseasesMolecular mechanismsAlzheimer's diseaseComprehensive insightGenomeProteomicsGenesAnalytical challengesPathwayAlzheimer
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