Mouse hematopoietic stem cell differentiation
Raw
Scaled
Rank | Name | Mean score | Distance correlation (spectral) | Distance correlation (spectral) | Distance correlation | Distance correlation | co-KNN AUC | co-KNN AUC | co-KNN size | co-KNN size | continuity | continuity | density preservation | density preservation | global property | global property | local continuity meta criterion | local continuity meta criterion | local property | local property | trustworthiness | trustworthiness | Memory (GB) | Runtime (min) | CPU (%) | Paper | Year | Library |
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1 | densMAP (logCP10k) | 0.36 | 0.30 | 1.02 | 0.46 | 0.61 | 0.53 | 0.06 | 0.09 | 0.08 | 0.76 | 0.50 | 0.68 | 0.69 | 0.57 | 0.13 | 0.08 | 0.08 | 0.19 | 0.18 | 0.62 | 0.24 | 1.00 | 3.22 | 76.10 | 2021 | v0.5.3 | |
2 | densMAP PCA (logCP10k) | 0.36 | 0.26 | 0.96 | 0.47 | 0.63 | 0.56 | 0.11 | 0.10 | 0.09 | 0.63 | 0.24 | 0.71 | 0.72 | 0.59 | 0.18 | 0.09 | 0.09 | 0.19 | 0.19 | 0.69 | 0.37 | 1.02 | 3.80 | 695.00 | 2021 | v0.5.3 | |
3 | PyMDE Preserve Distances (logCP10k) | 0.34 | 0.19 | 0.85 | 0.66 | 0.87 | 0.58 | 0.15 | 0.06 | 0.05 | 0.70 | 0.37 | 0.37 | 0.38 | 0.63 | 0.25 | 0.05 | 0.05 | 0.16 | 0.15 | 0.62 | 0.23 | 2.90 | 6.18 | 818.70 | 2021 | v0.1.18 | |
4 | t-Distributed Stochastic Neighbor Embedding (t-SNE) (logCP10k) | 0.33 | 0.23 | 0.92 | 0.47 | 0.62 | 0.56 | 0.13 | 0.11 | 0.09 | 0.66 | 0.30 | 0.38 | 0.38 | 0.60 | 0.19 | 0.09 | 0.09 | 0.19 | 0.18 | 0.70 | 0.40 | 0.97 | 22.13 | 185.40 | 2008 | v0.1 | |
5 | UMAP (logCP10k) | 0.29 | 0.27 | 0.97 | 0.33 | 0.45 | 0.52 | 0.03 | 0.09 | 0.07 | 0.74 | 0.47 | 0.38 | 0.39 | 0.56 | 0.11 | 0.07 | 0.07 | 0.17 | 0.17 | 0.60 | 0.20 | 1.00 | 2.57 | 88.00 | 2018 | v0.5.3 | |
6 | PyMDE Preserve Neighbors (logCP10k) | 0.29 | 0.27 | 0.98 | 0.41 | 0.54 | 0.55 | 0.09 | 0.10 | 0.09 | 0.64 | 0.25 | 0.19 | 0.20 | 0.58 | 0.15 | 0.09 | 0.09 | 0.18 | 0.17 | 0.68 | 0.37 | 1.10 | 13.53 | 463.40 | 2021 | v0.1.18 | |
7 | UMAP PCA (logCP10k) | 0.28 | 0.30 | 1.01 | 0.42 | 0.55 | 0.55 | 0.09 | 0.11 | 0.09 | 0.59 | 0.16 | 0.06 | 0.06 | 0.58 | 0.16 | 0.09 | 0.09 | 0.19 | 0.18 | 0.69 | 0.38 | 1.02 | 3.88 | 698.60 | 2018 | v0.5.3 | |
8 | NeuralEE (CPU) (logCP10k, 1kHVG) | 0.26 | 0.24 | 0.92 | 0.26 | 0.36 | 0.53 | 0.07 | 0.07 | 0.05 | 0.68 | 0.33 | 0.28 | 0.29 | 0.58 | 0.16 | 0.05 | 0.05 | 0.16 | 0.16 | 0.63 | 0.25 | 0.91 | 0.77 | 354.00 | 2020 | v0.1.6 | |
9 | densMAP (logCP10k, 1kHVG) | 0.26 | 0.27 | 0.96 | 0.23 | 0.31 | 0.52 | 0.05 | 0.07 | 0.05 | 0.62 | 0.21 | 0.35 | 0.36 | 0.57 | 0.13 | 0.05 | 0.05 | 0.16 | 0.15 | 0.64 | 0.27 | 0.80 | 0.85 | 95.40 | 2021 | v0.5.3 | |
10 | PyMDE Preserve Neighbors (logCP10k, 1kHVG) | 0.25 | 0.23 | 0.92 | 0.28 | 0.38 | 0.53 | 0.05 | 0.07 | 0.05 | 0.64 | 0.25 | 0.19 | 0.20 | 0.57 | 0.14 | 0.05 | 0.05 | 0.16 | 0.16 | 0.64 | 0.28 | 0.92 | 1.82 | 205.20 | 2021 | v0.1.18 | |
11 | densMAP PCA (logCP10k, 1kHVG) | 0.25 | 0.27 | 0.98 | 0.21 | 0.29 | 0.52 | 0.05 | 0.07 | 0.05 | 0.61 | 0.20 | 0.30 | 0.31 | 0.57 | 0.13 | 0.05 | 0.05 | 0.16 | 0.16 | 0.64 | 0.27 | 0.80 | 1.15 | 106.30 | 2021 | v0.5.3 | |
12 | PyMDE Preserve Distances (logCP10k, 1kHVG) | 0.25 | 0.26 | 0.95 | 0.29 | 0.39 | 0.54 | 0.07 | 0.05 | 0.04 | 0.61 | 0.19 | 0.18 | 0.19 | 0.60 | 0.20 | 0.04 | 0.04 | 0.17 | 0.16 | 0.62 | 0.23 | 2.90 | 2.45 | 216.00 | 2021 | v0.1.18 | |
13 | t-Distributed Stochastic Neighbor Embedding (t-SNE) (logCP10k, 1kHVG) | 0.24 | 0.15 | 0.79 | 0.24 | 0.33 | 0.54 | 0.08 | 0.07 | 0.06 | 0.67 | 0.32 | 0.18 | 0.18 | 0.59 | 0.16 | 0.06 | 0.06 | 0.17 | 0.16 | 0.65 | 0.30 | 0.80 | 3.55 | 358.30 | 2008 | v0.1 | |
14 | Principle Component Analysis (PCA) (logCP10k) | 0.24 | 0.34 | 1.08 | 0.46 | 0.61 | 0.52 | 0.05 | 0.07 | 0.05 | 0.61 | 0.20 | -0.16 | -0.15 | 0.56 | 0.12 | 0.05 | 0.05 | 0.15 | 0.14 | 0.62 | 0.24 | 0.97 | 0.69 | 353.80 | 1901 | v1.1.3 | |
15 | UMAP PCA (logCP10k, 1kHVG) | 0.23 | 0.22 | 0.90 | 0.25 | 0.35 | 0.52 | 0.04 | 0.07 | 0.06 | 0.64 | 0.26 | 0.11 | 0.12 | 0.57 | 0.12 | 0.06 | 0.06 | 0.17 | 0.16 | 0.64 | 0.28 | 0.80 | 1.12 | 259.10 | 2018 | v0.5.3 | |
16 | UMAP (logCP10k, 1kHVG) | 0.23 | 0.23 | 0.91 | 0.22 | 0.31 | 0.52 | 0.04 | 0.07 | 0.05 | 0.65 | 0.28 | 0.13 | 0.14 | 0.57 | 0.12 | 0.05 | 0.05 | 0.16 | 0.16 | 0.64 | 0.28 | 0.80 | 1.03 | 94.40 | 2018 | v0.5.3 | |
17 | NeuralEE (CPU) (Default) | 0.23 | 0.22 | 0.90 | 0.25 | 0.34 | 0.52 | 0.03 | 0.05 | 0.04 | 0.68 | 0.34 | 0.12 | 0.13 | 0.57 | 0.12 | 0.04 | 0.04 | 0.15 | 0.15 | 0.60 | 0.21 | 2.40 | 2.55 | 468.10 | 2020 | v0.1.6 | |
18 | PHATE (gamma=0) | 0.22 | 0.39 | 1.15 | 0.30 | 0.41 | 0.52 | 0.04 | 0.08 | 0.07 | 0.60 | 0.17 | -0.25 | -0.24 | 0.55 | 0.09 | 0.07 | 0.07 | 0.15 | 0.15 | 0.66 | 0.32 | 1.00 | 2.37 | 248.90 | 2019 | v1.0.10 | |
19 | PHATE (default) | 0.21 | 0.38 | 1.13 | 0.31 | 0.42 | 0.52 | 0.04 | 0.08 | 0.07 | 0.61 | 0.19 | -0.42 | -0.41 | 0.55 | 0.09 | 0.07 | 0.07 | 0.15 | 0.15 | 0.66 | 0.32 | 1.00 | 1.35 | 573.80 | 2019 | v1.0.10 | |
20 | Principle Component Analysis (PCA) (logCP10k, 1kHVG) | 0.21 | 0.32 | 1.04 | 0.15 | 0.22 | 0.50 | 0.01 | 0.06 | 0.04 | 0.61 | 0.20 | 0.04 | 0.05 | 0.56 | 0.11 | 0.04 | 0.04 | 0.15 | 0.15 | 0.60 | 0.20 | 0.80 | 1.32 | 30.80 | 1901 | v1.1.3 | |
21 | PHATE (logCP10k) | 0.20 | 0.36 | 1.10 | 0.31 | 0.41 | 0.52 | 0.04 | 0.09 | 0.07 | 0.64 | 0.26 | -0.52 | -0.51 | 0.56 | 0.10 | 0.07 | 0.07 | 0.16 | 0.16 | 0.66 | 0.33 | 0.86 | 2.35 | 471.70 | 2019 | v1.0.10 | |
22 | PHATE (logCP10k, 1kHVG) | 0.19 | 0.26 | 0.96 | 0.20 | 0.28 | 0.52 | 0.05 | 0.06 | 0.04 | 0.65 | 0.27 | -0.29 | -0.28 | 0.57 | 0.14 | 0.04 | 0.04 | 0.16 | 0.15 | 0.63 | 0.25 | 0.84 | 1.62 | 490.90 | 2019 | v1.0.10 |