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 Research
2023
Atlas-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 Research
2022
3D reconstruction of spatial expression
Lin Y, Yang J. 3D reconstruction of spatial expression. Nature Methods 2022, 19: 526-527. PMID: 35577956, DOI: 10.1038/s41592-022-01476-5.Commentaries, Editorials and Letters
2019
scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets
Lin Y, Ghazanfar S, Wang K, Gagnon-Bartsch J, Lo K, Su X, Han Z, Ormerod J, Speed T, Yang P, Yang J. scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets. Proceedings Of The National Academy Of Sciences Of The United States Of America 2019, 116: 9775-9784. PMID: 31028141, PMCID: PMC6525515, DOI: 10.1073/pnas.1820006116.Peer-Reviewed Original ResearchConceptsMultiple single-cell RNA-seq datasetsSingle-cell RNA-seq datasetsRNA-seq datasetsSingle-cell RNA sequencing dataRNA sequencing dataFurther biological insightsBiological discoveryBiological insightsSequencing dataStable expressionConcerted examinationRobust data integrationLarge collectionIndividual datasetsGenesMultiple collectionsPseudoreplicatesExpression