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CIDR: Ultrafast and accurate clustering through imputation for single cell RNA seq data

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Figure

Table 1 Runtime comparison between CIDR and four other algorithms
Table 3 Comparison of runtime and clustering accuracy (measured by adjusted rand index) between CIDR and four other algorithmson a simulation data set with 10,000 cells
Fig. 2 Performance evaluation with simulated data. Simulated scRNA-seq data set parameters: three cell types, 50 cells in each cell type, 20,000non-differentially expressed features, 150 differentially expressed features and ten markers for each cell type
Fig. 3 Performance evaluation with the human brain scRNA-seq data set. In this data set there are 420 cells in eight cell types after the exclusion ofthe clustering output for each of the compared algorithms
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