Table 4 Number of clusters selected (average ARI, standard deviation) for each simulation setting using mixtures of MPLN distributions
From: A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data
Setting | Method | BIC | ICL | AIC | AIC3 | None |
|---|---|---|---|---|---|---|
1 | mixtures of MPLN | 1 (1.00, 0.00) | 1 (1.00, 0.00) | 1 (1.00, 0.00) | 1 (1.00, 0.00) | - |
| Â | HTSCluster | 3 (0.00, 0.00) | 3 (0.00, 0.00) | 3 (0.00, 0.00) | 3 (0.00, 0.00) | - |
| Â | Poisson.glm.mix, m = 1 | 3 (0.00, 0.00) | 3 (0.00, 0.00) | 3 (0.00, 0.00) | 3 (0.00, 0.00) | - |
| Â | Poisson.glm.mix, m = 2 | 3 (0.00, 0.00) | 3 (0.00, 0.00) | 3 (0.00, 0.00) | 3 (0.00, 0.00) | - |
| Â | Poisson.glm.mix, m = 3 | 1-3 (1.00, 0.00) | 1-3 (1.00, 0.00) | 1-3 (1.00, 0.00) | 1-3 (1.00, 0.00) | - |
| Â | MBCluster.Seq, Poisson | - | - | - | - | - |
| Â | MBCluster.Seq, NB | - | - | - | - | - |
| Â | Louvain | - | - | - | - | 3-5 (0.00, 0.00) |
2 | mixtures of MPLN | 2 (1.00, 0.00) | 2 (1.00, 0.00) | 2 (1.00, 0.00) | 2 (1.00, 0.00) | - |
| Â | HTSCluster | 3 (-0.01, 0.01) | 3 (-0.01, 0.01) | 3 (-0.01, 0.01) | 3 (-0.01, 0.01) | - |
| Â | Poisson.glm.mix, m = 1 | 3 (0.09, 0.04) | 3 (0.09, 0.04) | 3 (0.09, 0.04) | 3 (0.09, 0.04) | - |
| Â | Poisson.glm.mix, m = 2 | 3 (0.00, 0.02) | 3 (0.00, 0.02) | 3 (0.00, 0.02) | 3 (0.00, 0.02) | - |
| Â | Poisson.glm.mix, m = 3 | 1-3 (0.00, 0.01) | 1-3 (0.00, 0.01) | 1-3 (0.00, 0.01) | 1-3 (0.00, 0.01) | - |
| Â | MBCluster.Seq, Poisson | 3 (0.00, 0.01) | 3 (0.00, 0.01) | 3 (0.00, 0.01) | 3 (0.00, 0.01) | - |
| Â | MBCluster.Seq, NB | 2 (-0.01, 0.06) | 2 (-0.01, 0.06) | 2 (-0.01, 0.06) | 2 (-0.01, 0.06) | - |
| Â | Kmeans | - | - | - | - | 2 (-0.06, 0.03) |
| Â | Medoids | - | - | - | - | 2 (0.70, 0.03) |
| Â | Hierarchical | - | - | - | - | 2 (-0.00, 0.008) |
| Â | Louvain | - | - | - | - | 3-8 (0.014, 0.01) |
3 | mixtures of MPLN | 3 (0.99, 0.01) | 3 (0.99, 0.01) | 3 (0.99, 0.01) | 3 (0.99, 0.01) | - |
| Â | HTSCluster | 4 (0.02, 0.02) | 4 (0.02, 0.02) | 4 (0.02, 0.02) | 4 (0.02, 0.02) | - |
| Â | Poisson.glm.mix, m = 1 | 4 (0.15, 0.03) | 4 (0.15, 0.03) | 4 (0.15, 0.03) | 4 (0.15, 0.03) | - |
| Â | Poisson.glm.mix, m = 2 | 4 (0.04, 0.02) | 4 (0.04, 0.02) | 4 (0.04, 0.02) | 4 (0.04, 0.02) | - |
| Â | Poisson.glm.mix, m = 3 | 2-4 (0.02, 0.01) | 2-4 (0.02, 0.01) | 2-4 (0.02, 0.01) | 2-4 (0.02, 0.01) | - |
| Â | MBCluster.Seq, Poisson | 4 (0.02, 0.01) | 4 (0.02, 0.01) | 4 (0.02, 0.01) | 4 (0.02, 0.01) | - |
| Â | MBCluster.Seq, NB | 2 (0.00, 0.01) | 2 (0.00, 0.01) | 2 (0.00, 0.01) | 2 (0.00, 0.01) | - |
| Â | Kmeans | - | - | - | - | 3 (0.03, 0.11) |
| Â | Medoids | - | - | - | - | 3 (0.42, 0.07) |
| Â | Hierarchical | - | - | - | - | 3 (-0.00, 0.07) |
| Â | Louvain | - | - | - | - | 5-7 (0.015, 0.01) |