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Table 2 Comparison of clustering accuracy (measured by adjusted rand index) between CIDR and four other algorithms

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

Data set Size CIDR CIDR (L) prcomp t-SNE RaceID ZIFA
Pancreatic islet 60 0.68 0.42 0.21 0.20 0.22 0.20
Simulation 150 0.92 0.90 0.48 0.02 0 0.00
Human brain 420 0.90 0.88 0.48 0.57 0.39 0.53
Mouse brain 1800 0.52 0.37 0.26 0.62 0.37a 0.32
  1. CIDR is the default CIDR algorithm implementation with step function simplification, while CIDR (L) is the implementation with the non-simplified logistic function
  2. aRaceID failed to converge for the mouse brain data set