PathwaysModule {BioM2} | R Documentation |
Delineate differential pathway modules with high biological interpretability
Description
Delineate differential pathway modules with high biological interpretability
Usage
PathwaysModule(
pathways_matrix = NULL,
control_label = NULL,
power = NULL,
minModuleSize = NULL,
mergeCutHeight = NULL,
cutoff = 70,
MinNumPathways = 5,
p.adjust.method = "fdr",
exact = TRUE,
ancestor_anno = NULL
)
Arguments
pathways_matrix |
A pathway matrix generated by the BioM2( target='pathways') function. |
control_label |
The label of the control group ( A single number, factor, or character ) |
power |
soft-thresholding power for network construction. Detail for WGCNA::blockwiseModules() |
minModuleSize |
minimum module size for module detection. Detail for WGCNA::blockwiseModules() |
mergeCutHeight |
dendrogram cut height for module merging. Detail for WGCNA::blockwiseModules() |
cutoff |
Thresholds for Biological Interpretability Difference Modules |
MinNumPathways |
Minimum number of pathways included in the biologically interpretable difference module |
p.adjust.method |
p-value adjustment method.(holm", "hochberg", "hommel", "bonferroni", "BH", "BY", |
exact |
Whether to divide GO pathways more accurately (work when ancestor_anno=NULL) |
ancestor_anno |
Annotations for ancestral relationships (like data('GO_Ancestor') ) |
Value
A list containing differential module results that are highly biologically interpretable