Description Usage Arguments Value Examples
This function will perform enrichment analysis based on a gene module or identified differentially expressed genes (DEG). This function is also depended on clusterProfiler, AnnotationDbi, org.Mm.eg.db, and org.Hs.eg.db package.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | RunPathway(object, ...)
.runPathway(
object = NULL,
N.bicluster = c(10, 11, 12, 13),
selected.gene.cutoff = 0.05,
species = "Human",
database = "GO",
genes.source = c("CTS", "Bicluster")
)
## S4 method for signature 'IRISFGM'
RunPathway(
object = NULL,
N.bicluster = c(10, 11, 12, 13),
selected.gene.cutoff = 0.05,
species = "Human",
database = "GO",
genes.source = c("CTS", "Bicluster")
)
|
object |
Input IRIS-FGM object |
... |
other arguments passed to methods |
N.bicluster |
Select the numebr of bicluster to perform this function. |
selected.gene.cutoff |
Set up a statistical significance cutoff for all identified DEGs. |
species |
You can choose either 'Human' or 'Mouse' |
database |
You can choose either 'GO' or 'KEGG' database |
genes.source |
You can choose a gene list source, either 'CTS' or 'Bicluster.' 'CTS' means from cell-type-specific DEGs, and 'Bicluster means using gene module from the selected bicluster.' |
It will reture a function enrichment analysis.
1 2 3 4 5 6 7 8 | # If you want to perform this function based on identified DEGs, you should use:
## Not run: object <- RunPathway(object = NULL,N.bicluster = NULL, selected.gene.cutoff = 0.05,
species = 'Human', database = 'GO', genes.source = 'CTS'
## End(Not run)
# To rum this function based on the gene module from an identified bicluster use:
## Not run: object <- RunPathway(object = NULL,N.bicluster = NULL, selected.gene.cutoff = 0.05,
species = 'Human', database = 'GO', genes.source = 'Bicluster'
## End(Not run)
|
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