Immune (by batch)

Human immune cells from peripheral blood and bone marrow taken from 5 datasets comprising 10 batches across technologies (10X, Smart-seq2).
Raw Scaled
RankNameMean scoreARIARIGraph connectivityGraph connectivityIsolated label F1Isolated label F1NMINMIMemory (GB)Runtime (min)CPU (%)PaperYearLibrary
1scANVI (hvg/unscaled)0.890.880.880.980.980.860.850.850.8513.9047.772,350.202021v0.20.0
2scANVI (full/unscaled)0.870.880.880.990.980.770.760.840.845.8054.922,684.102021v0.20.0
3scVI (hvg/unscaled)0.860.820.820.990.980.840.830.800.8011.8044.322,370.502018v0.20.0
4Scanorama (hvg/scaled)0.860.790.790.980.970.850.840.820.828.1014.88475.902019v1.7
5MNN (hvg/scaled)0.850.780.780.980.970.850.850.810.8137.0019.331,039.102018v0.1.9.5
6scVI (full/unscaled)0.840.790.790.980.980.820.810.790.793.4049.502,697.302018v0.20.0
7MNN (full/unscaled)0.840.750.750.980.980.840.830.810.81376.9045.774,831.202018v0.1.9.5
8Scanorama (full/scaled)0.840.740.740.990.990.850.840.800.7942.7025.981,330.602019v1.7
9Scanorama gene output (hvg/scaled)0.840.810.810.940.930.830.830.800.808.2018.17448.402019v1.7
10Scanorama (hvg/unscaled)0.830.780.780.910.900.820.810.830.837.6012.50529.402019v1.7
11MNN (hvg/unscaled)0.830.700.700.990.990.830.830.790.7935.7013.751,500.602018v0.1.9.5
12MNN (full/scaled)0.820.720.720.970.960.840.830.780.78601.00105.531,516.502018v0.1.9.5
13Combat (full/unscaled)0.810.750.750.940.930.790.780.790.7917.607.92507.802007v1.9.1
14Scanorama gene output (hvg/unscaled)0.810.730.730.910.890.840.840.780.787.5015.05502.502019v1.7
15FastMNN embed (hvg/unscaled)0.800.750.750.960.960.740.730.790.793.405.4084.602019v1.14.1
16FastMNN embed (hvg/scaled)0.800.760.760.960.950.710.700.800.804.906.2088.302019v1.14.1
17Scanorama gene output (full/scaled)0.800.700.700.950.940.810.800.750.7541.1018.371,270.102019v1.7
18SCALEX (hvg)0.800.730.730.970.960.730.720.770.7718.9011.352,429.802022v1.0.2
19BBKNN (hvg/unscaled)0.790.620.620.980.980.850.840.740.742.102.07481.802020v1.5.1
20Harmony (hvg/scaled)0.790.730.730.940.940.750.750.760.765.602.28594.702019v0.1.7
21Harmony (hvg/unscaled)0.790.750.750.940.930.730.720.770.762.203.17243.602019v0.1.7
22Combat (full/scaled)0.790.700.700.980.980.740.730.750.7523.6016.02264.202007v1.9.1
23Combat (hvg/scaled)0.790.660.660.940.930.810.800.750.755.509.30160.602007v1.9.1
24FastMNN feature (hvg/unscaled)0.780.700.700.960.960.730.720.760.768.403.62302.102019v1.14.1
25Combat (hvg/unscaled)0.770.630.630.950.950.780.770.740.744.809.80169.502007v1.9.1
26FastMNN feature (hvg/scaled)0.770.690.690.960.960.680.660.760.769.208.00166.402019v1.14.1
27BBKNN (hvg/scaled)0.770.610.610.990.990.780.770.700.703.000.94355.802020v1.5.1
28SCALEX (full)0.760.600.600.960.960.770.760.730.7325.7041.232,491.602022v1.0.2
29BBKNN (full/scaled)0.750.570.570.980.970.810.810.660.668.904.75245.502020v1.5.1
30Scanorama (full/unscaled)0.750.510.510.930.920.860.860.710.7119.3034.201,115.102019v1.7
31BBKNN (full/unscaled)0.740.520.520.990.990.780.780.690.692.908.97167.602020v1.5.1
32Harmony (full/unscaled)0.730.560.560.960.950.710.700.720.722.404.88540.402019v0.1.7
33Liger (hvg/unscaled)0.720.700.700.880.870.600.590.740.744.9049.42102.102019v0.5.0.9000
34Harmony (full/scaled)0.720.600.600.890.880.690.680.720.728.901.981,124.702019v0.1.7
35FastMNN embed (full/unscaled)0.710.500.500.950.950.740.730.670.677.107.7796.702019v1.14.1
36FastMNN embed (full/scaled)0.710.490.490.950.950.750.740.670.6712.307.27103.802019v1.14.1
37FastMNN feature (full/scaled)0.700.480.480.940.940.760.750.640.6429.5011.40234.202019v1.14.1
38FastMNN feature (full/unscaled)0.690.560.560.940.930.650.630.640.6424.009.35255.402019v1.14.1
39Scanorama gene output (full/unscaled)0.680.440.440.800.770.810.810.710.7119.4026.07476.702019v1.7
40Liger (full/unscaled)0.620.510.510.890.870.460.440.660.6615.50177.47100.902019v0.5.0.9000