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
Hybrid Attention Mechanisms and Bio-Inspired Optimization for Enhanced Breast Cancer Diagnosis from Ultrasound Images
Mirza F, Zhao H. Hybrid Attention Mechanisms and Bio-Inspired Optimization for Enhanced Breast Cancer Diagnosis from Ultrasound Images. 2024, 00: 786-792. DOI: 10.1109/prai62207.2024.10827528.Peer-Reviewed Original ResearchBio-inspired optimizationState-of-the-art classification accuracyHybrid attention mechanismNovel deep-learning frameworkState-of-the-artBreast ultrasound datasetDeep learning frameworkMedical image screeningComputer-aided diagnosisGrey wolf optimizerResidual blockAttention mechanismLearning frameworkClassification accuracyBreast cancer diagnosisCADx systemModel hyperparametersUltrasound datasetsImage attributesWolf optimizerHow-everDataset 1Model optimizationDataset 2Bio-inspired
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