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viper (version 1.6.0)

msviper-class: The msviper class

Description

This class contains the results generated by the msviper function

Arguments

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