Mouse hematopoietic stem cell differentiation

1.6k hematopoietic stem and progenitor cells from mouse bone marrow. Sequenced by Smart-seq2. 1920 cells x 43258 features with 3 cell type labels
Raw Scaled
RankNameMean scoreDistance correlation (spectral)Distance correlation (spectral)Distance correlationDistance correlationco-KNN AUCco-KNN AUCco-KNN sizeco-KNN sizecontinuitycontinuitydensity preservationdensity preservationglobal propertyglobal propertylocal continuity meta criterionlocal continuity meta criterionlocal propertylocal propertytrustworthinesstrustworthinessMemory (GB)Runtime (min)CPU (%)PaperYearLibrary
1densMAP (logCP10k)0.360.301.020.460.610.530.060.090.080.760.500.680.690.570.130.080.080.190.180.620.241.003.2276.102021v0.5.3
2densMAP PCA (logCP10k)0.360.260.960.470.630.560.110.100.090.630.240.710.720.590.180.090.090.190.190.690.371.023.80695.002021v0.5.3
3PyMDE Preserve Distances (logCP10k)0.340.190.850.660.870.580.150.060.050.700.370.370.380.630.250.050.050.160.150.620.232.906.18818.702021v0.1.18
4t-Distributed Stochastic Neighbor Embedding (t-SNE) (logCP10k)0.330.230.920.470.620.560.130.110.090.660.300.380.380.600.190.090.090.190.180.700.400.9722.13185.402008v0.1
5UMAP (logCP10k)0.290.270.970.330.450.520.030.090.070.740.470.380.390.560.110.070.070.170.170.600.201.002.5788.002018v0.5.3
6PyMDE Preserve Neighbors (logCP10k)0.290.270.980.410.540.550.090.100.090.640.250.190.200.580.150.090.090.180.170.680.371.1013.53463.402021v0.1.18
7UMAP PCA (logCP10k)0.280.301.010.420.550.550.090.110.090.590.160.060.060.580.160.090.090.190.180.690.381.023.88698.602018v0.5.3
8NeuralEE (CPU) (logCP10k, 1kHVG)0.260.240.920.260.360.530.070.070.050.680.330.280.290.580.160.050.050.160.160.630.250.910.77354.002020v0.1.6
9densMAP (logCP10k, 1kHVG)0.260.270.960.230.310.520.050.070.050.620.210.350.360.570.130.050.050.160.150.640.270.800.8595.402021v0.5.3
10PyMDE Preserve Neighbors (logCP10k, 1kHVG)0.250.230.920.280.380.530.050.070.050.640.250.190.200.570.140.050.050.160.160.640.280.921.82205.202021v0.1.18
11densMAP PCA (logCP10k, 1kHVG)0.250.270.980.210.290.520.050.070.050.610.200.300.310.570.130.050.050.160.160.640.270.801.15106.302021v0.5.3
12PyMDE Preserve Distances (logCP10k, 1kHVG)0.250.260.950.290.390.540.070.050.040.610.190.180.190.600.200.040.040.170.160.620.232.902.45216.002021v0.1.18
13t-Distributed Stochastic Neighbor Embedding (t-SNE) (logCP10k, 1kHVG)0.240.150.790.240.330.540.080.070.060.670.320.180.180.590.160.060.060.170.160.650.300.803.55358.302008v0.1
14Principle Component Analysis (PCA) (logCP10k)0.240.341.080.460.610.520.050.070.050.610.20-0.16-0.150.560.120.050.050.150.140.620.240.970.69353.801901v1.1.3
15UMAP PCA (logCP10k, 1kHVG)0.230.220.900.250.350.520.040.070.060.640.260.110.120.570.120.060.060.170.160.640.280.801.12259.102018v0.5.3
16UMAP (logCP10k, 1kHVG)0.230.230.910.220.310.520.040.070.050.650.280.130.140.570.120.050.050.160.160.640.280.801.0394.402018v0.5.3
17NeuralEE (CPU) (Default)0.230.220.900.250.340.520.030.050.040.680.340.120.130.570.120.040.040.150.150.600.212.402.55468.102020v0.1.6
18PHATE (gamma=0)0.220.391.150.300.410.520.040.080.070.600.17-0.25-0.240.550.090.070.070.150.150.660.321.002.37248.902019v1.0.10
19PHATE (default)0.210.381.130.310.420.520.040.080.070.610.19-0.42-0.410.550.090.070.070.150.150.660.321.001.35573.802019v1.0.10
20Principle Component Analysis (PCA) (logCP10k, 1kHVG)0.210.321.040.150.220.500.010.060.040.610.200.040.050.560.110.040.040.150.150.600.200.801.3230.801901v1.1.3
21PHATE (logCP10k)0.200.361.100.310.410.520.040.090.070.640.26-0.52-0.510.560.100.070.070.160.160.660.330.862.35471.702019v1.0.10
22PHATE (logCP10k, 1kHVG)0.190.260.960.200.280.520.050.060.040.650.27-0.29-0.280.570.140.040.040.160.150.630.250.841.62490.902019v1.0.10