R script to generate the preprocessing input for scSynO
Version 1

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:
  • R script for scSynO.R (Binary file - 24.3 KB) Download

Organism: Mus musculus

Model type: Not specified

Model format: Not specified

Execution or visualisation environment: Not specified

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Views: 788   Downloads: 36

Created: 7th May 2021 at 14:58

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Version History

Version 1 (earliest) Created 7th May 2021 at 14:58 by Markus Wolfien

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