Yingxin Lin, PhD
Postdoctoral AssociateAbout
Research
Publications
2024
SANTO: a coarse-to-fine alignment and stitching method for spatial omics
Li H, Lin Y, He W, Han W, Xu X, Xu C, Gao E, Zhao H, Gao X. SANTO: a coarse-to-fine alignment and stitching method for spatial omics. Nature Communications 2024, 15: 6048. PMID: 39025895, PMCID: PMC11258319, DOI: 10.1038/s41467-024-50308-x.Peer-Reviewed Original ResearchAntecedent Cardiac Arrest Status of Donation After Circulatory Determination of Death (DCDD) Kidney Donors and the Risk of Delayed Graft Function After Kidney Transplantation: A Cohort Study.
Philipoff A, Lin Y, Teixeira-Pinto A, Gately R, Craig J, Opdam H, Chapman J, Pleass H, Rogers N, Davies C, McDonald S, Yang J, Lopez P, Wong G, Lim W. Antecedent Cardiac Arrest Status of Donation After Circulatory Determination of Death (DCDD) Kidney Donors and the Risk of Delayed Graft Function After Kidney Transplantation: A Cohort Study. Transplantation 2024 PMID: 38685196, DOI: 10.1097/tp.0000000000005022.Peer-Reviewed Original ResearchRisk of delayed graft functionCardiac arrestAllograft lossGraft functionDuration of cardiac arrestAssociated with DGFDelayed graft functionKidney transplant recipientsRisk of DGFGlomerular filtration rateRecipients of kidneysNew Zealand DialysisCirculatory determination of deathDetermination of deathArrest statusAllograft outcomesTransplant recipientsCardiorespiratory supportKidney transplantationFiltration rateCohort studyPosttransplant eGFRCox regressionOdds ratioAllograftBIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
Fu X, Lin Y, Lin D, Mechtersheimer D, Wang C, Ameen F, Ghazanfar S, Patrick E, Kim J, Yang J. BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data. Nature Communications 2024, 15: 509. PMID: 38218939, PMCID: PMC10787788, DOI: 10.1038/s41467-023-44560-w.Peer-Reviewed Original ResearchConceptsGene expressionSingle-cell transcriptomic dataSpatial expression analysisMap of gene expressionSpatial mapping of gene expressionTranscriptome dataBiological discoveryExpression analysisTranscriptomic platformsOversized cellsPublic repositoriesCell morphologyState-of-the-art methodsSelf-supervised learningDeep learning-based frameworkState-of-the-artTissue typesLearning-based frameworkHigh-resolution spatial mappingCellsExpressionSignificant analytical challengeSegmentation performanceLoss functionRecent advances
2023
Data integration and inference of gene regulation using single-cell temporal multimodal data with scTIE
Lin Y, Wu T, Chen X, Wan S, Chao B, Xin J, Yang J, Wong W, Wang Y. Data integration and inference of gene regulation using single-cell temporal multimodal data with scTIE. Genome Research 2023, 34: gr.277960.123. PMID: 38190633, PMCID: PMC10903952, DOI: 10.1101/gr.277960.123.Peer-Reviewed Original ResearchThinking process templates for constructing data stories with SCDNEY
Cao Y, Tran A, Kim H, Robertson N, Lin Y, Torkel M, Yang P, Patrick E, Ghazanfar S, Yang J. Thinking process templates for constructing data stories with SCDNEY. F1000Research 2023, 12: 261. DOI: 10.12688/f1000research.130623.2.Peer-Reviewed Original ResearchPcdh19 mediates olfactory sensory neuron coalescence during postnatal stages and regeneration
Martinez A, Chung A, Huang S, Bisogni A, Lin Y, Cao Y, Williams E, Kim J, Yang J, Lin D. Pcdh19 mediates olfactory sensory neuron coalescence during postnatal stages and regeneration. IScience 2023, 26: 108220. PMID: 37965156, PMCID: PMC10641745, DOI: 10.1016/j.isci.2023.108220.Peer-Reviewed Original ResearchOlfactory sensory neuronsLateral glomeruliProjection of olfactory sensory neuronsMouse olfactory systemComplement of genesCell adhesion moleculesOlfactory bulbSensory neuronsCadherin superfamilySevere phenotypeSingle cell analysisPostnatal stagesAdhesion moleculesOlfactory systemGlomeruliOlfactory mapGenesOdorant receptorsProtocadherinMaleDifferential effectsCell analysisMOR28FemalesSuperfamilyAtlas-scale single-cell multi-sample multi-condition data integration using scMerge2
Lin Y, Cao Y, Willie E, Patrick E, Yang J. Atlas-scale single-cell multi-sample multi-condition data integration using scMerge2. Nature Communications 2023, 14: 4272. PMID: 37460600, PMCID: PMC10352351, DOI: 10.1038/s41467-023-39923-2.Peer-Reviewed Original ResearchThinking process templates for constructing data stories with SCDNEY
Cao Y, Tran A, Kim H, Robertson N, Lin Y, Torkel M, Yang P, Patrick E, Ghazanfar S, Yang J. Thinking process templates for constructing data stories with SCDNEY. F1000Research 2023, 12: 261. DOI: 10.12688/f1000research.130623.1.Peer-Reviewed Original Research
2022
Scalable workflow for characterization of cell-cell communication in COVID-19 patients
Lin Y, Loo L, Tran A, Lin D, Moreno C, Hesselson D, Neely G, Yang J. Scalable workflow for characterization of cell-cell communication in COVID-19 patients. PLOS Computational Biology 2022, 18: e1010495. PMID: 36197936, PMCID: PMC9534414, DOI: 10.1371/journal.pcbi.1010495.Peer-Reviewed Original ResearchConceptsCOVID-19 patientsSevere patientsDisease severityDysfunctional immune responseDistinct disease outcomesHigher mortality riskSARS-CoV-2Different disease statesImmune cellsLung tissueDisease outcomeImmune responseMortality riskPatientsCell-cell interactionsPathogenic outcomesCritical symptomsCell-cell interaction patternsDisease statesSeverityOutcomesCellsLungSymptomsscFeatures: multi-view representations of single-cell and spatial data for disease outcome prediction
Cao Y, Lin Y, Patrick E, Yang P, Yang J. scFeatures: multi-view representations of single-cell and spatial data for disease outcome prediction. Bioinformatics 2022, 38: 4745-4753. PMID: 36040148, PMCID: PMC9563679, DOI: 10.1093/bioinformatics/btac590.Peer-Reviewed Original Research