Immune (by batch)
Raw
Scaled
Rank | Name | Mean score | ARI | ARI | Graph connectivity | Graph connectivity | Isolated label F1 | Isolated label F1 | NMI | NMI | Memory (GB) | Runtime (min) | CPU (%) | Paper | Year | Library |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | scANVI (hvg/unscaled) | 0.89 | 0.88 | 0.88 | 0.98 | 0.98 | 0.86 | 0.85 | 0.85 | 0.85 | 13.90 | 47.77 | 2,350.20 | 2021 | v0.20.0 | |
2 | scANVI (full/unscaled) | 0.87 | 0.88 | 0.88 | 0.99 | 0.98 | 0.77 | 0.76 | 0.84 | 0.84 | 5.80 | 54.92 | 2,684.10 | 2021 | v0.20.0 | |
3 | scVI (hvg/unscaled) | 0.86 | 0.82 | 0.82 | 0.99 | 0.98 | 0.84 | 0.83 | 0.80 | 0.80 | 11.80 | 44.32 | 2,370.50 | 2018 | v0.20.0 | |
4 | Scanorama (hvg/scaled) | 0.86 | 0.79 | 0.79 | 0.98 | 0.97 | 0.85 | 0.84 | 0.82 | 0.82 | 8.10 | 14.88 | 475.90 | 2019 | v1.7 | |
5 | MNN (hvg/scaled) | 0.85 | 0.78 | 0.78 | 0.98 | 0.97 | 0.85 | 0.85 | 0.81 | 0.81 | 37.00 | 19.33 | 1,039.10 | 2018 | v0.1.9.5 | |
6 | scVI (full/unscaled) | 0.84 | 0.79 | 0.79 | 0.98 | 0.98 | 0.82 | 0.81 | 0.79 | 0.79 | 3.40 | 49.50 | 2,697.30 | 2018 | v0.20.0 | |
7 | MNN (full/unscaled) | 0.84 | 0.75 | 0.75 | 0.98 | 0.98 | 0.84 | 0.83 | 0.81 | 0.81 | 376.90 | 45.77 | 4,831.20 | 2018 | v0.1.9.5 | |
8 | Scanorama (full/scaled) | 0.84 | 0.74 | 0.74 | 0.99 | 0.99 | 0.85 | 0.84 | 0.80 | 0.79 | 42.70 | 25.98 | 1,330.60 | 2019 | v1.7 | |
9 | Scanorama gene output (hvg/scaled) | 0.84 | 0.81 | 0.81 | 0.94 | 0.93 | 0.83 | 0.83 | 0.80 | 0.80 | 8.20 | 18.17 | 448.40 | 2019 | v1.7 | |
10 | Scanorama (hvg/unscaled) | 0.83 | 0.78 | 0.78 | 0.91 | 0.90 | 0.82 | 0.81 | 0.83 | 0.83 | 7.60 | 12.50 | 529.40 | 2019 | v1.7 | |
11 | MNN (hvg/unscaled) | 0.83 | 0.70 | 0.70 | 0.99 | 0.99 | 0.83 | 0.83 | 0.79 | 0.79 | 35.70 | 13.75 | 1,500.60 | 2018 | v0.1.9.5 | |
12 | MNN (full/scaled) | 0.82 | 0.72 | 0.72 | 0.97 | 0.96 | 0.84 | 0.83 | 0.78 | 0.78 | 601.00 | 105.53 | 1,516.50 | 2018 | v0.1.9.5 | |
13 | Combat (full/unscaled) | 0.81 | 0.75 | 0.75 | 0.94 | 0.93 | 0.79 | 0.78 | 0.79 | 0.79 | 17.60 | 7.92 | 507.80 | 2007 | v1.9.1 | |
14 | Scanorama gene output (hvg/unscaled) | 0.81 | 0.73 | 0.73 | 0.91 | 0.89 | 0.84 | 0.84 | 0.78 | 0.78 | 7.50 | 15.05 | 502.50 | 2019 | v1.7 | |
15 | FastMNN embed (hvg/unscaled) | 0.80 | 0.75 | 0.75 | 0.96 | 0.96 | 0.74 | 0.73 | 0.79 | 0.79 | 3.40 | 5.40 | 84.60 | 2019 | v1.14.1 | |
16 | FastMNN embed (hvg/scaled) | 0.80 | 0.76 | 0.76 | 0.96 | 0.95 | 0.71 | 0.70 | 0.80 | 0.80 | 4.90 | 6.20 | 88.30 | 2019 | v1.14.1 | |
17 | Scanorama gene output (full/scaled) | 0.80 | 0.70 | 0.70 | 0.95 | 0.94 | 0.81 | 0.80 | 0.75 | 0.75 | 41.10 | 18.37 | 1,270.10 | 2019 | v1.7 | |
18 | SCALEX (hvg) | 0.80 | 0.73 | 0.73 | 0.97 | 0.96 | 0.73 | 0.72 | 0.77 | 0.77 | 18.90 | 11.35 | 2,429.80 | 2022 | v1.0.2 | |
19 | BBKNN (hvg/unscaled) | 0.79 | 0.62 | 0.62 | 0.98 | 0.98 | 0.85 | 0.84 | 0.74 | 0.74 | 2.10 | 2.07 | 481.80 | 2020 | v1.5.1 | |
20 | Harmony (hvg/scaled) | 0.79 | 0.73 | 0.73 | 0.94 | 0.94 | 0.75 | 0.75 | 0.76 | 0.76 | 5.60 | 2.28 | 594.70 | 2019 | v0.1.7 | |
21 | Harmony (hvg/unscaled) | 0.79 | 0.75 | 0.75 | 0.94 | 0.93 | 0.73 | 0.72 | 0.77 | 0.76 | 2.20 | 3.17 | 243.60 | 2019 | v0.1.7 | |
22 | Combat (full/scaled) | 0.79 | 0.70 | 0.70 | 0.98 | 0.98 | 0.74 | 0.73 | 0.75 | 0.75 | 23.60 | 16.02 | 264.20 | 2007 | v1.9.1 | |
23 | Combat (hvg/scaled) | 0.79 | 0.66 | 0.66 | 0.94 | 0.93 | 0.81 | 0.80 | 0.75 | 0.75 | 5.50 | 9.30 | 160.60 | 2007 | v1.9.1 | |
24 | FastMNN feature (hvg/unscaled) | 0.78 | 0.70 | 0.70 | 0.96 | 0.96 | 0.73 | 0.72 | 0.76 | 0.76 | 8.40 | 3.62 | 302.10 | 2019 | v1.14.1 | |
25 | Combat (hvg/unscaled) | 0.77 | 0.63 | 0.63 | 0.95 | 0.95 | 0.78 | 0.77 | 0.74 | 0.74 | 4.80 | 9.80 | 169.50 | 2007 | v1.9.1 | |
26 | FastMNN feature (hvg/scaled) | 0.77 | 0.69 | 0.69 | 0.96 | 0.96 | 0.68 | 0.66 | 0.76 | 0.76 | 9.20 | 8.00 | 166.40 | 2019 | v1.14.1 | |
27 | BBKNN (hvg/scaled) | 0.77 | 0.61 | 0.61 | 0.99 | 0.99 | 0.78 | 0.77 | 0.70 | 0.70 | 3.00 | 0.94 | 355.80 | 2020 | v1.5.1 | |
28 | SCALEX (full) | 0.76 | 0.60 | 0.60 | 0.96 | 0.96 | 0.77 | 0.76 | 0.73 | 0.73 | 25.70 | 41.23 | 2,491.60 | 2022 | v1.0.2 | |
29 | BBKNN (full/scaled) | 0.75 | 0.57 | 0.57 | 0.98 | 0.97 | 0.81 | 0.81 | 0.66 | 0.66 | 8.90 | 4.75 | 245.50 | 2020 | v1.5.1 | |
30 | Scanorama (full/unscaled) | 0.75 | 0.51 | 0.51 | 0.93 | 0.92 | 0.86 | 0.86 | 0.71 | 0.71 | 19.30 | 34.20 | 1,115.10 | 2019 | v1.7 | |
31 | BBKNN (full/unscaled) | 0.74 | 0.52 | 0.52 | 0.99 | 0.99 | 0.78 | 0.78 | 0.69 | 0.69 | 2.90 | 8.97 | 167.60 | 2020 | v1.5.1 | |
32 | Harmony (full/unscaled) | 0.73 | 0.56 | 0.56 | 0.96 | 0.95 | 0.71 | 0.70 | 0.72 | 0.72 | 2.40 | 4.88 | 540.40 | 2019 | v0.1.7 | |
33 | Liger (hvg/unscaled) | 0.72 | 0.70 | 0.70 | 0.88 | 0.87 | 0.60 | 0.59 | 0.74 | 0.74 | 4.90 | 49.42 | 102.10 | 2019 | v0.5.0.9000 | |
34 | Harmony (full/scaled) | 0.72 | 0.60 | 0.60 | 0.89 | 0.88 | 0.69 | 0.68 | 0.72 | 0.72 | 8.90 | 1.98 | 1,124.70 | 2019 | v0.1.7 | |
35 | FastMNN embed (full/unscaled) | 0.71 | 0.50 | 0.50 | 0.95 | 0.95 | 0.74 | 0.73 | 0.67 | 0.67 | 7.10 | 7.77 | 96.70 | 2019 | v1.14.1 | |
36 | FastMNN embed (full/scaled) | 0.71 | 0.49 | 0.49 | 0.95 | 0.95 | 0.75 | 0.74 | 0.67 | 0.67 | 12.30 | 7.27 | 103.80 | 2019 | v1.14.1 | |
37 | FastMNN feature (full/scaled) | 0.70 | 0.48 | 0.48 | 0.94 | 0.94 | 0.76 | 0.75 | 0.64 | 0.64 | 29.50 | 11.40 | 234.20 | 2019 | v1.14.1 | |
38 | FastMNN feature (full/unscaled) | 0.69 | 0.56 | 0.56 | 0.94 | 0.93 | 0.65 | 0.63 | 0.64 | 0.64 | 24.00 | 9.35 | 255.40 | 2019 | v1.14.1 | |
39 | Scanorama gene output (full/unscaled) | 0.68 | 0.44 | 0.44 | 0.80 | 0.77 | 0.81 | 0.81 | 0.71 | 0.71 | 19.40 | 26.07 | 476.70 | 2019 | v1.7 | |
40 | Liger (full/unscaled) | 0.62 | 0.51 | 0.51 | 0.89 | 0.87 | 0.46 | 0.44 | 0.66 | 0.66 | 15.50 | 177.47 | 100.90 | 2019 | v0.5.0.9000 |