A new tool for studying multiple characteristics of a singlecell NatureComms
) and , clustering performance is illustrated in a two-dimensional manner with ARI as the Y axis and NMI as the X axis. Circles stand for the results of the multi-omics methods and triangles stand for the results of the single-omics methods. The differences between the performance of scMDC and the competing methods are shown in boxplots . Each boxplot shows the minimum, first quartile , median, third quartile , and maximum of data.
We also conduct a multi-batch experiment by combining two PMBC datasets . For scATAC-seq data, we use a cell-to-gene matrix as input for scMDC, scMM, Seurat, and Kmeans. This matrix is built by mapping ATAC reads onto the gene regions . Cobolt uses the peak count matrix as the input. Figureshows the clustering performance of scMDC and the competing methods in single-batch datasets and multi-batch datasets .
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