get_mods | R Documentation |
This function takes a CEMiTool
object containing an adjacency matrix
together with the given network parameters, and returns the given
co-expression modules.
get_mods(cem, ...)
## S4 method for signature 'CEMiTool'
get_mods(
cem,
cor_function = "cor",
cor_method = "pearson",
tom_type = "signed",
min_ngen = 20
)
cem |
Object of class |
... |
Optional parameters. |
cor_function |
A character string indicating the correlation function
to be used. Default |
cor_method |
A character string indicating which correlation
coefficient is to be computed. Default |
tom_type |
A character string indicating to use either "unsigned" or "signed" (default) TOM similarity measure. |
min_ngen |
Minimal number of genes per module (Default: 20). |
Numeric labels assigning genes to modules.
# Get example expression data
data(expr0)
# Initialize new CEMiTool object with expression data
cem <- new_cem(expr0, filter=TRUE, apply_vst=FALSE)
# Calculate adjacency matrix with example beta value 8
cem <- get_adj(cem, beta=8)
# Get module labels
mods <- get_mods(cem)
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