Pancreas (by batch)

Human pancreatic islet scRNA-seq data from 6 datasets across technologies (CEL-seq, CEL-seq2, Smart-seq2, inDrop, Fluidigm C1, and SMARTER-seq).

Pancreas (by batch)

RankNMIIsolated label F1ARIGraph connectivityMemory (GB)Runtime (min)CPU (%)NamePaperCodeYear
380.540.010.250.645.003.93277.10Harmony (full/unscaled)

v0.1.7

2019
150.820.040.880.917.003.4081.30FastMNN embed (hvg/unscaled)

v1.12.3

2019
40.880.250.920.996.003.60413.70Combat (hvg/scaled)

v1.9.1

2007
360.610.010.490.705.903.50303.60Combat (hvg/unscaled)

v1.9.1

2007
230.680.010.620.995.101.50224.80BBKNN (hvg/scaled)

v1.5.1

2020
370.540.010.230.644.601.97228.10Harmony (hvg/unscaled)

v0.1.7

2019
260.780.010.860.906.603.65633.40Scanorama (hvg/unscaled)

v1.7.2

2019
130.820.040.880.917.503.1781.90FastMNN embed (hvg/scaled)

v1.12.3

2019
70.860.070.900.99153.407.93907.40MNN (hvg/scaled)

v0.1.9.5

2018
250.770.030.850.806.504.58705.80Scanorama gene output (hvg/unscaled)

v1.7.2

2019
170.690.130.500.9311.801.55354.00Harmony (full/scaled)

v0.1.7

2019
220.610.080.440.9511.801.98662.80BBKNN (full/scaled)

v1.5.1

2020
90.790.270.820.965.108.85546.00Harmony (hvg/scaled)

v0.1.7

2019
80.850.080.890.957.604.65736.30Scanorama gene output (hvg/scaled)

v1.7.2

2019
50.880.140.920.987.906.181,102.50Scanorama (hvg/scaled)

v1.7.2

2019
270.730.020.540.91150.106.48713.10MNN (hvg/unscaled)

v0.1.9.5

2018
310.660.020.500.834.701.65150.20BBKNN (hvg/unscaled)

v1.5.1

2020
120.820.040.880.918.703.02206.80FastMNN feature (hvg/unscaled)

v1.12.3

2019
320.660.020.490.837.201.35616.70BBKNN (full/unscaled)

v1.5.1

2020
100.830.040.880.918.904.38234.50FastMNN feature (hvg/scaled)

v1.12.3

2019
300.340.090.210.8621.004.03648.80Combat (full/scaled)

v1.9.1

2007
350.350.060.350.616.9031.2797.20Liger (hvg/unscaled)

v0.5.0.9000

2019
340.610.010.510.6717.503.60398.40Combat (full/unscaled)

v1.9.1

2007
160.760.330.820.8723.2010.60876.00Scanorama (full/unscaled)

v1.7.2

2019
180.780.090.870.8423.209.92925.30Scanorama gene output (full/unscaled)

v1.7.2

2019
190.820.020.880.9127.8017.3296.70FastMNN embed (full/scaled)

v1.12.3

2019
280.600.030.430.9336.5010.77915.10Scanorama gene output (full/scaled)

v1.7.2

2019
210.800.020.860.9127.0014.57145.00FastMNN feature (full/unscaled)

v1.12.3

2019
110.760.120.770.9838.7012.851,266.80Scanorama (full/scaled)

v1.7.2

2019
140.820.030.870.9220.9011.00100.50FastMNN embed (full/unscaled)

v1.12.3

2019
60.900.100.940.987.90108.821,420.00scVI (full/unscaled)

v0.17.1

2018
200.800.020.860.9234.0019.02160.30FastMNN feature (full/scaled)

v1.12.3

2019
240.760.030.710.91350.1034.431,114.10MNN (full/unscaled)

v0.1.9.5

2018
10.920.180.950.996.30126.281,020.70scANVI (hvg/unscaled)

v0.17.1

2021
20.910.090.951.005.7023.321,378.90scVI (hvg/unscaled)

v0.17.2

2018
330.340.080.370.6520.70243.8599.90Liger (full/unscaled)

v0.5.0.9000

2019
290.460.080.300.89475.5034.901,757.30MNN (full/scaled)

v0.1.9.5

2018
30.910.100.950.989.6081.901,597.00scANVI (full/unscaled)

v0.17.2

2021