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
2022
Identifying imaging genetic associations via regional morphometricity estimation.
Bao J, Wen Z, Kim M, Saykin AJ, Thompson PM, Zhao Y, Shen L. Identifying imaging genetic associations via regional morphometricity estimation. Biocomputing 2022, 27: 97-108. PMID: 34890140, PMCID: PMC8730533.Peer-Reviewed Original ResearchIdentifying highly heritable brain amyloid phenotypes through mining Alzheimer's imaging and sequencing biobank data.
Bao J, Wen Z, Kim M, Zhao X, Lee BN, Jung SH, Davatzikos C, Saykin AJ, Thompson PM, Kim D, Zhao Y, Shen L. Identifying highly heritable brain amyloid phenotypes through mining Alzheimer's imaging and sequencing biobank data. Biocomputing 2022, 27: 109-120. PMID: 34890141, PMCID: PMC8730532.Peer-Reviewed Original Research
2021
Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data
Zhao Y, Chang C, Hannum M, Lee J, Shen R. Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data. Scientific Reports 2021, 11: 5146. PMID: 33664338, PMCID: PMC7933297, DOI: 10.1038/s41598-021-84514-0.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremCarcinogenesisCluster AnalysisComputational BiologyEpigenomicsGenomicsHumansModels, StatisticalNeoplasmsTranscriptomeConceptsMolecular dataJoint posterior distributionHigh-dimensional settingsVariational Bayes approachSingle-cell dataArt clustering methodsPosterior distributionMolecular profiling dataComputational efficiencyCanonical oncogenicTranscriptomic alterationsBiological discoveryModel inferenceBayes approachCell decompositionStemness phenotypeProfiling dataSingle cellsComputational methodsBulk tumorPathway alterationsNebulaClustering methodAnalysis settingsCell data
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