CEB A Cluster Ensemble Based tool for identifying cell-types

Cell-type identification is an important issue in the analysis of single-cell data. Currently, the research on cell-type identification mainly uses single-cell transcriptome data. However, other omics data also play an important role in the identification of cell types. Here we provide a software tool that integrates single-cell multi-omics data to identify cell types. It integrates the results of multiple omics data on multiple single-cell clustering algorithms through late integration. CEB method has high accuracy and robustness. CEB consists of four components, including Data Processing, Individual Clustering, Clustering Ensemble.