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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