msviper-class: The msviper class
Description
This class contains the results generated by the msviper function
Slots
signature
:- Matrix containing the gene expression signature
regulon
:- Object of class
regulon
es
:- List containing 6 objects:
es$es
:- Named vector of class
numeric
containing the enrichment scores es$nes
:- Named vector of class
numeric
containing the normalized enrichment scores es$nes.se
:- Named vector of class
numeric
containing the standard error for the normalized enrichment score es$size
:- Named vector of class
numeric
containing the size -number of target genes- for each regulator es$p.value
:- Named vector of class
numeric
containing the enrichment p-values es$nes.bt
:- Matrix containing the normalized enrichment score if the msviper test is performed with bootstraps
param
:- List containing 3 elements:
param$minsize
:- Integer indicating the minimum allowed size for the regulons
param$adaptive.size
:- Logical indicating whether the weight (likelihood) should be used for computing the regulon size
param$iterative
:- Logical indicating whether a two step analysis with adaptive redundancy estimation should be performed
nullmodel
:- Matrix of genes by permutations containing the NULL model signatures
ledge
:- List containing the leading edge genes for each regulator. This slot is added by the
ledge
function shadow
:- Two columns matrix containing the gene names for the shadow pairs. The first column contain the most probble regulator and the second column the one that was identified because a shadow effect