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Cadherin-2 precursor (CDw325) (Neural cadherin) (N-cadherin) (CD325 antigen) [CDHN] [NCAD]


CellBIC: bimodality-based top-down clustering of single-cell RNA sequencing data reveals hierarchical structure of the cell type.

Single-cell RNA sequencing (scRNA-seq) is a powerful tool to study heterogeneity and dynamic changes in cell populations. Clustering scRNA-seq is essential in identifying new cell types and studying their characteristics. We develop CellBIC (single Cell BImodal Clustering) to cluster scRNA-seq data based on modality in the gene expression distribution. Compared with classical bottom-up approaches that rely on a distance metric, CellBIC performs hierarchical clustering in a top-down manner. CellBIC outperformed the bottom-up hierarchical clustering approach and other recently developed clustering algorithms while maintaining the hierarchical structure of cells. Importantly, CellBIC identifies type 2 diabetes and age specific β cell signatures characterized by SIX3 and CDH2, respectively.

MeSH Terms

  • Aging
  • Algorithms
  • Antigens, CD
  • Cadherins
  • Cluster Analysis
  • Computational Biology
  • Diabetes Mellitus, Type 2
  • Gene Expression Profiling
  • Genetic Markers
  • Humans
  • Islets of Langerhans
  • Pancreas
  • Sequence Analysis, RNA
  • Single-Cell Analysis