Method: scVI
This page displays information for the following method:
Name: |
scVI |
Description: |
Conditional variational autoencoder |
GitHub: |
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DOI: |
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Labels required?: |
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1 Overall
1.1 Plot
1.2 Table
2 Individual metrics
2.1 Overall
2.2 Batch correction
Batch correction
PCR batch
Batch ASW
Graph iLISI
Graph connectivity
kBET
2.3 Bio conservation
Bio conservation
NMI cluster/label
ARI cluster/label
Label ASW
Isolated label F1
Isolated label silhouette
Graph cLISI
HVG conservation
Cell cycle conservation
Trajectory conservation
3 Embeddings
Dataset (Output)
simulations_1_1 (Embedding)
Input features (Scaling)
Full (Unscaled)
HVG (Unscaled)
immune_cell_hum (Embedding)
Input features (Scaling)
Full (Unscaled)
HVG (Unscaled)
lung_atlas (Embedding)
Input features (Scaling)
Full (Unscaled)
HVG (Unscaled)
pancreas (Embedding)
Input features (Scaling)
Full (Unscaled)
HVG (Unscaled)
mouse_brain (Embedding)
Input features (Scaling)
Full (Unscaled)
HVG (Unscaled)
immune_cell_hum_mou (Embedding)
Input features (Scaling)
Full (Unscaled)
HVG (Unscaled)
simulations_2 (Embedding)
Input features (Scaling)
Full (Unscaled)
HVG (Unscaled)
4 Scalability
4.1 Time
4.2 Memory
