Skip to main content

Table 2 Average NMI score from different clustering methods on the datasets (standard deviation of scores in parentheses) along with optimal resolution parameter or choice of k used in each method

From: Cellograph: a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks

Dataset

K-means on PCA space

Leiden

Louvain

K-means on Cellograph-derived latent space

Organoid

\(k=8\)

0.124 (0.019)

Resolution = 0.2

0.183 (0.071)

Resolution = 0.4

0.183 (0.021)

\(k=2\)

0.513 (6.695 \(\times 10^{-16}\))

Drug holiday

\(k=4\)

0.706 (9.255\(\times 10^{-4}\))

Resolution = 0.2

0.817 (0.018)

Resolution = 0.2

0.824 (3.956\(\times 10^{-3}\))

\(k=5\)

0.805 (1.292\(\times 10^{-4}\))

Myogenesis

\(k=10\)

0.538 (0.013)

Resolution = 0.1

0.715 (0.016)

Resolution = 0.5

0.655 (0.018)

\(k=7\)

0.87 (5.174\(\times 10^{-5}\))