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Table 2 Table showing comparisons among several feature pre-selection scenarios in terms of run time and efficiency in detection of glial cells for two different validation datasets (VD 1 & 2)

From: Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling

Dataset

Pre-selection

Pre-processing

Data generation

Training

Detected/Actual cells

VD1

All features

None

11 min 56s

0/5

VD2

All features

None

2 min 19s

0/3

VD1

All features

sc-SynO

4 min 3s

28 min 24s

2423/5

VD2

All features

sc-SynO

4 min 19s

5 min 8s

299/3

VD1

50 features

None

2.4 s

4

VD2

50 features

None

408 ms

2

VD1

50 features

sc-SynO

1.23 s

1.94 s

5/5

VD2

50 features

sc-SynO

1.12 s

484 ms

3/3

VD1

20 features

None

706 ms

4

VD2

20 features

None

240 ms

1

VD1

20 features

sc-SynO

1.12 s

679 ms

6/5

VD2

20 features

sc-SynO

1.11 s

236 ms

3/3