2021
Bayesian information sharing enhances detection of regulatory associations in rare cell types
Wu A, Peng J, Berger B, Cho H. Bayesian information sharing enhances detection of regulatory associations in rare cell types. Bioinformatics 2021, 37: i349-i357. PMID: 34252956, PMCID: PMC8275330, DOI: 10.1093/bioinformatics/btab269.Peer-Reviewed Original ResearchConceptsScRNA-seq datasetsRegulatory associationsCell typesRegulatory networksCell type-specific gene regulatory networksCell-type specific gene regulationSingle-cell RNA sequencing technologyCell-type specific networksBenchmark scRNA-seq datasetsDiverse cellular contextsGene regulatory network inference methodRNA sequencing technologyGene regulatory networksRare cell typesSingle-cell datasetsSpecific cell typesNetwork inference methodsDynamic biological processesTranscriptional statesGene regulationCellular contextNetwork inference algorithmsComplex rewiringBiological processesGene associations
2019
Geometric Sketching Compactly Summarizes the Single-Cell Transcriptomic Landscape
Hie B, Cho H, DeMeo B, Bryson B, Berger B. Geometric Sketching Compactly Summarizes the Single-Cell Transcriptomic Landscape. Cell Systems 2019, 8: 483-493.e7. PMID: 31176620, PMCID: PMC6597305, DOI: 10.1016/j.cels.2019.05.003.Peer-Reviewed Original ResearchConceptsSingle-cell transcriptomic landscapeSingle-cell RNA sequencing studiesSingle-cell omicsCell typesSeq data integrationSingle-cell data analysisRare cell typesRNA sequencing studiesScRNA-seq dataTranscriptional diversityTranscriptomic landscapeBiological cell typesTranscriptomic heterogeneitySequencing studiesRare subpopulationAnalysis pipelineCellsUmbilical cord bloodEssential stepInflammatory macrophagesOmicsComprehensive visualizationDiversityGeometric sketchHundreds of thousands