Nothing
CoInformation <-
function(pts,class,factor){
# compute co-information value of a give SNP combination.
# reference: http://en.wikipedia.org/wiki/Interaction_information
#
# input
# pts: Row -> Sample, Column -> SNP
# 1 -> AA
# 2 -> Aa
# 3 -> aa
# class: Row -> 1, Column -> class label
# 1 -> case
# 2 -> control
# factor: the considered SNP or SNP-combination, for example, factor <- 5
# or factor <- c(2,5)
#
# output
# Co_Information_Value: co-information value of a give SNP combination.
#
# Junliang Shang
# 3.12/2014
data <- cbind(pts[,factor],t(class))
FeatureNum <- ncol(data)
value <- 0
for (i in 1:FeatureNum){
A <- combn(1:FeatureNum,i)
for (j in 1:ncol(A)){
value <- value-(-1)^(FeatureNum-i)*
CombinationEntropy(data[,A[,j]])$Combination_Entropy_Value
}
}
list(Co_Information_Value=value)
}
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