5k Peripheral blood mononuclear cells
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | densMAP PCA (logCP10k) | 0.55 | 0.15 | 1.25 | 0.67 | 0.76 | 0.69 | 0.37 | 0.05 | 0.05 | 0.86 | 0.72 | 0.69 | 0.70 | 0.78 | 0.56 | 0.04 | 0.05 | 0.40 | 0.40 | 0.82 | 0.63 | 0.59 | 2.15 | 920.70 | 2021 | v0.5.3 | |
2 | densMAP (logCP10k, 1kHVG) | 0.53 | 0.21 | 1.60 | 0.45 | 0.51 | 0.66 | 0.31 | 0.04 | 0.04 | 0.83 | 0.66 | 0.62 | 0.63 | 0.75 | 0.51 | 0.04 | 0.04 | 0.38 | 0.38 | 0.79 | 0.58 | 0.63 | 3.27 | 97.00 | 2021 | v0.5.3 | |
3 | UMAP PCA (logCP10k) | 0.49 | 0.15 | 1.28 | 0.67 | 0.76 | 0.69 | 0.38 | 0.05 | 0.04 | 0.85 | 0.69 | 0.10 | 0.13 | 0.79 | 0.58 | 0.04 | 0.04 | 0.38 | 0.38 | 0.82 | 0.64 | 0.59 | 3.77 | 568.50 | 2018 | v0.5.3 | |
4 | PyMDE Preserve Distances (logCP10k) | 0.48 | 0.00 | 0.54 | 0.90 | 1.01 | 0.72 | 0.43 | 0.03 | 0.02 | 0.84 | 0.67 | 0.50 | 0.51 | 0.83 | 0.66 | 0.02 | 0.02 | 0.36 | 0.36 | 0.78 | 0.57 | 16.20 | 5.50 | 2,503.70 | 2021 | v0.1.18 | |
5 | densMAP PCA (logCP10k, 1kHVG) | 0.48 | 0.17 | 1.37 | 0.41 | 0.47 | 0.64 | 0.27 | 0.04 | 0.04 | 0.83 | 0.65 | 0.52 | 0.54 | 0.73 | 0.46 | 0.04 | 0.04 | 0.37 | 0.37 | 0.79 | 0.59 | 0.59 | 1.88 | 145.70 | 2021 | v0.5.3 | |
6 | t-Distributed Stochastic Neighbor Embedding (t-SNE) (logCP10k) | 0.47 | 0.14 | 1.24 | 0.61 | 0.69 | 0.68 | 0.35 | 0.05 | 0.05 | 0.84 | 0.67 | 0.13 | 0.15 | 0.77 | 0.55 | 0.05 | 0.05 | 0.35 | 0.34 | 0.83 | 0.66 | 0.77 | 22.23 | 190.80 | 2008 | v0.1 | |
7 | PyMDE Preserve Neighbors (logCP10k) | 0.46 | 0.17 | 1.37 | 0.49 | 0.56 | 0.65 | 0.30 | 0.05 | 0.04 | 0.86 | 0.72 | 0.10 | 0.13 | 0.74 | 0.48 | 0.04 | 0.04 | 0.38 | 0.38 | 0.82 | 0.63 | 0.98 | 2.75 | 1,307.50 | 2021 | v0.1.18 | |
8 | NeuralEE (CPU) (logCP10k, 1kHVG) | 0.46 | 0.16 | 1.34 | 0.45 | 0.51 | 0.66 | 0.31 | 0.04 | 0.03 | 0.83 | 0.66 | 0.26 | 0.28 | 0.76 | 0.51 | 0.03 | 0.03 | 0.38 | 0.38 | 0.78 | 0.55 | 0.75 | 1.13 | 766.90 | 2020 | v0.1.6 | |
9 | densMAP (logCP10k) | 0.46 | -0.05 | 0.26 | 0.78 | 0.88 | 0.68 | 0.36 | 0.03 | 0.02 | 0.86 | 0.71 | 0.86 | 0.86 | 0.77 | 0.54 | 0.02 | 0.02 | 0.39 | 0.39 | 0.77 | 0.54 | 1.30 | 4.20 | 249.90 | 2021 | v0.5.3 | |
10 | PHATE (gamma=0) | 0.45 | 0.13 | 1.20 | 0.50 | 0.57 | 0.65 | 0.30 | 0.04 | 0.04 | 0.84 | 0.69 | 0.23 | 0.25 | 0.75 | 0.50 | 0.04 | 0.04 | 0.37 | 0.37 | 0.80 | 0.61 | 0.85 | 2.95 | 538.30 | 2019 | v1.0.10 | |
11 | PyMDE Preserve Neighbors (logCP10k, 1kHVG) | 0.45 | 0.18 | 1.44 | 0.45 | 0.51 | 0.66 | 0.31 | 0.04 | 0.04 | 0.83 | 0.66 | 0.04 | 0.07 | 0.76 | 0.52 | 0.04 | 0.04 | 0.37 | 0.37 | 0.78 | 0.55 | 0.97 | 1.27 | 600.00 | 2021 | v0.1.18 | |
12 | UMAP (logCP10k, 1kHVG) | 0.44 | 0.19 | 1.47 | 0.45 | 0.51 | 0.64 | 0.27 | 0.04 | 0.04 | 0.82 | 0.64 | 0.06 | 0.09 | 0.74 | 0.48 | 0.04 | 0.04 | 0.36 | 0.36 | 0.77 | 0.54 | 0.60 | 2.12 | 111.80 | 2018 | v0.5.3 | |
13 | t-Distributed Stochastic Neighbor Embedding (t-SNE) (logCP10k, 1kHVG) | 0.44 | 0.20 | 1.52 | 0.32 | 0.36 | 0.62 | 0.24 | 0.05 | 0.04 | 0.82 | 0.63 | 0.22 | 0.24 | 0.70 | 0.41 | 0.04 | 0.04 | 0.33 | 0.33 | 0.80 | 0.59 | 0.77 | 1.63 | 788.90 | 2008 | v0.1 | |
14 | PHATE (logCP10k, 1kHVG) | 0.43 | 0.15 | 1.28 | 0.49 | 0.56 | 0.65 | 0.30 | 0.04 | 0.03 | 0.81 | 0.61 | 0.08 | 0.11 | 0.75 | 0.51 | 0.03 | 0.03 | 0.37 | 0.37 | 0.77 | 0.55 | 0.79 | 4.02 | 402.00 | 2019 | v1.0.10 | |
15 | PHATE (logCP10k) | 0.43 | 0.10 | 1.05 | 0.51 | 0.58 | 0.63 | 0.25 | 0.05 | 0.04 | 0.84 | 0.68 | 0.24 | 0.26 | 0.72 | 0.43 | 0.04 | 0.04 | 0.36 | 0.36 | 0.81 | 0.62 | 0.81 | 2.23 | 763.30 | 2019 | v1.0.10 | |
16 | UMAP PCA (logCP10k, 1kHVG) | 0.43 | 0.19 | 1.48 | 0.39 | 0.44 | 0.63 | 0.25 | 0.04 | 0.04 | 0.82 | 0.64 | 0.03 | 0.05 | 0.72 | 0.44 | 0.04 | 0.04 | 0.35 | 0.35 | 0.78 | 0.57 | 0.56 | 2.15 | 104.40 | 2018 | v0.5.3 | |
17 | Principle Component Analysis (PCA) (logCP10k) | 0.42 | -0.07 | 0.16 | 0.88 | 0.99 | 0.69 | 0.38 | 0.03 | 0.02 | 0.82 | 0.63 | 0.47 | 0.49 | 0.80 | 0.60 | 0.02 | 0.02 | 0.36 | 0.36 | 0.78 | 0.55 | 0.55 | 1.33 | 154.50 | 1901 | v1.1.3 | |
18 | PHATE (default) | 0.41 | 0.07 | 0.90 | 0.53 | 0.60 | 0.63 | 0.25 | 0.04 | 0.04 | 0.82 | 0.64 | 0.19 | 0.21 | 0.72 | 0.44 | 0.04 | 0.04 | 0.36 | 0.36 | 0.80 | 0.61 | 0.85 | 7.77 | 268.70 | 2019 | v1.0.10 | |
19 | PyMDE Preserve Distances (logCP10k, 1kHVG) | 0.41 | 0.10 | 1.02 | 0.48 | 0.55 | 0.64 | 0.28 | 0.03 | 0.02 | 0.77 | 0.53 | 0.30 | 0.32 | 0.76 | 0.52 | 0.02 | 0.02 | 0.33 | 0.33 | 0.73 | 0.47 | 16.20 | 14.05 | 233.90 | 2021 | v0.1.18 | |
20 | Principle Component Analysis (PCA) (logCP10k, 1kHVG) | 0.39 | 0.08 | 0.93 | 0.47 | 0.54 | 0.63 | 0.27 | 0.03 | 0.02 | 0.80 | 0.59 | 0.20 | 0.23 | 0.74 | 0.49 | 0.02 | 0.02 | 0.34 | 0.34 | 0.73 | 0.45 | 0.47 | 1.23 | 21.70 | 1901 | v1.1.3 | |
21 | NeuralEE (CPU) (Default) | 0.38 | 0.06 | 0.84 | 0.63 | 0.71 | 0.66 | 0.32 | 0.03 | 0.02 | 0.74 | 0.47 | -0.05 | -0.02 | 0.75 | 0.51 | 0.02 | 0.02 | 0.36 | 0.36 | 0.79 | 0.59 | 2.70 | 9.38 | 263.20 | 2020 | v0.1.6 | |
22 | UMAP (logCP10k) | 0.37 | -0.07 | 0.17 | 0.77 | 0.87 | 0.67 | 0.34 | 0.03 | 0.03 | 0.87 | 0.73 | 0.01 | 0.04 | 0.78 | 0.57 | 0.03 | 0.03 | 0.37 | 0.37 | 0.77 | 0.54 | 1.30 | 3.00 | 328.10 | 2018 | v0.5.3 |