2023
A novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracy
Deng W, Li B, Wang J, Jiang W, Yan X, Li N, Vukmirovic M, Kaminski N, Wang J, Zhao H. A novel Bayesian framework for harmonizing information across tissues and studies to increase cell type deconvolution accuracy. Briefings In Bioinformatics 2023, 24: bbac616. PMID: 36631398, PMCID: PMC9851324, DOI: 10.1093/bib/bbac616.Peer-Reviewed Original Research
2022
Benchmarking automated cell type annotation tools for single-cell ATAC-seq data
Wang Y, Sun X, Zhao H. Benchmarking automated cell type annotation tools for single-cell ATAC-seq data. Frontiers In Genetics 2022, 13: 1063233. PMID: 36583014, PMCID: PMC9792779, DOI: 10.3389/fgene.2022.1063233.Peer-Reviewed Original ResearchCell type annotationScATAC-seq dataScRNA-seq dataScATAC-seqCell typesSingle-cell ATAC-seq dataAvailable single-cell datasetsRegulatory genomic regionsScRNA-seq data setsSingle-cell datasetsATAC-seq dataNovel cell typesSimilar cell typesSeurat v3Genomic regionsSequencing depthComplex tissuesDeep annotationAnnotationCellular compositionHuman tissuesType annotationsAnnotation toolAnnotation methodLabel transfer