Table 5 Number of clusters selected (average ARI, standard deviation) for the simulation setting using mixtures of negative binomial distributions
From: A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data
Method | BIC | ICL | AIC | AIC3 | None |
|---|---|---|---|---|---|
mixtures of MPLN | 2 (1.00, 0.00) | 2 (1.00, 0.00) | 2-3 (0.99, 0.02) | 2-3 (0.99, 0.02) | - |
HTSCluster | 2-3 (0.008, 0.02) | 1 (0.00, 0.00) | 3 (0.008, 0.02) | 3 (0.008, 0.02) | - |
Poisson.glm.mix, m = 1 | 1-3 (0.002, 0.02) | 1 (0.00, 0.00) | 3 (0.001, 0.01) | 3 (0.001, 0.01) | - |
Poisson.glm.mix, m = 2 | 2-3 (0.005, 0.02) | 1 (0.00, 0.00) | 2-3 (0.006, 0.02) | 3 (0.006, 0.02) | - |
Poisson.glm.mix, m = 3 | 1-3 (0.007, 0.02) | 1 (0.00, 0.00) | 3 (0.004, 0.02) | 3 (0.004, 0.02) | - |
MBCluster.Seq, Poisson | 2 (0.005, 0.02) | 2 (0.005, 0.02) | 2 (0.005, 0.02) | 2 (0.005, 0.02) | - |
MBCluster.Seq, NB | 2 (0.005, 0.01) | 2 (0.005, 0.01) | 2 (0.005, 0.01) | 2 (0.005, 0.01) | - |
Kmeans | - | - | - | - | 2 (1.00, 0.00) |
Medoids | - | - | - | - | 2 (1.00, 0.00) |
Hierarchical | - | - | - | - | 2 (1.00, 0.00) |
Louvain | - | - | - | - | 7-9 (-0.0006, 0.005) |