
Wrapper function to generate CoReMo parameters
params_coremo.RdWrapper function to generate CoReMo parameters
Arguments
- epsilon
Numeric. Epsilon parameter for the chosen RBF function, see
rbf_func. The higher, the more aggressively low correlations will be shrunk. Defaults to2.0.- k_min
Integer. Minimum and maximum number of cuts to use for the hierarchical clustering. Defaults to
2L.- k_max
Integer. Minimum and maximum number of cuts to use for the hierarchical clustering. Defaults to
150L.- min_size
Integer or
NULL. Minimum size of the clusters. Smaller clusters will be combined together. Defaults toNULL.- junk_module_threshold
Numeric. Threshold for the minimum correlation to be observed in a module. Defaults to
0.05.- rbf_func
String. Type of RBF you wish to apply to down-weigh weak correlations. One of
c("gaussian", "inverse_quadratic", "bump"). Defaults to"gaussian".- cor_method
String. The type of correlation to use. One of
c("spearman", "pearson"). Defaults to"spearman".
Value
A named list with the following elements:
epsilon - Numeric. Epsilon parameter for the chosen RBF function, see
rbf_func. The higher, the more aggressively low correlations will be shrunk. Defaults to2.0.k_min - Integer. Minimum and maximum number of cuts to use for the hierarchical clustering. Defaults to
2L.k_max - Integer. Minimum and maximum number of cuts to use for the hierarchical clustering. Defaults to
150L.min_size - Integer or
NULL. Minimum size of the clusters. Smaller clusters will be combined together. Defaults toNULL.junk_module_threshold - Numeric. Threshold for the minimum correlation to be observed in a module. Defaults to
0.05.rbf_func - String. Type of RBF you wish to apply to down-weigh weak correlations. One of
c("gaussian", "inverse_quadratic", "bump"). Defaults to"gaussian".cor_method - String. The type of correlation to use. One of
c("spearman", "pearson"). Defaults to"spearman".