| run_fgsea | R Documentation | 
Run fgsea for one cell type of one factor
run_fgsea(
  container,
  factor_select,
  ctype,
  db_use = "GO",
  signed = TRUE,
  min_gs_size = 15,
  max_gs_size = 500,
  ncores = container$experiment_params$ncores
)
| container | environment Project container that stores sub-containers for each cell type as well as results and plots from all analyses | 
| factor_select | numeric The factor of interest | 
| ctype | character The cell type of interest | 
| db_use | character The database of gene sets to use. Database options include "GO", "Reactome", "KEGG", "BioCarta", and "Hallmark". More than one database can be used. (default="GO") | 
| signed | logical If TRUE, uses signed gsea. If FALSE, uses unsigned gsea. Currently only works with fgsea method. (default=TRUE) | 
| min_gs_size | numeric Minimum gene set size (default=15) | 
| max_gs_size | numeric Maximum gene set size (default=500) | 
| ncores | numeric The number of cores to use (default=container$experiment_params$ncores) | 
A data.frame of the fgsea results for enrichment of gene sets in a given cell type for a given factor. The results contain adjusted p-values, normalized enrichment scores, leading edge genes, and other information output by fgsea.
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