Here is the detailed R script to generate the input needed by scSynO for synthetic cell generation and classification model training.
The code that can be embedded into any other Seurat data processing workflow is:
cell_expression_target_cluster <- as.matrix(GetAssayData(seuratobject, slot = "data")[, WhichCells(seuratobject, ident = "target_cluster_number")]) cell_expression_all_other_clusters <- as.matrix(GetAssayData(seuratobject, slot = "data")[, WhichCells(seuratobject, ident = c("other_cluster_number_1","other_cluster_number_2","other_cluster_number_3","..."))])
SEEK ID: https://fairdomhub.org/models/786?version=1
1 item is associated with this Model:Organism: Mus musculus
Model type: Not specified
Model format: Not specified
Execution or visualisation environment: Not specified
Model image: No image specified
Creator
Submitter
Views: 1157 Downloads: 64
Created: 7th May 2021 at 12:58
None
Version History
Version 1 (earliest) Created 7th May 2021 at 12:58 by Markus Wolfien
No revision comments