entropySpecificity: Entropy-based gene-expression specificity

In Accio/BioQC: Detect tissue heterogeneity in expression profiles with gene sets

Description

Entropy-based gene-expression specificity

Usage

entropySpecificity(mat, norm = FALSE)

Arguments

mat	A matrix (usually an expression matrix), with genes (features) in rows and samples in columns.
norm	Logical, whether the specificity should be normalized by log2(ncol(mat)).

Value

A vector of the length of the row number of the input matrix, namely the specificity score of genes.

References

Martinez and Reyes-Valdes (2008) Defining diversity, specialization, and gene specificity in transcriptomes through information theory. PNAS 105(28):9709–9714

See Also

entropy

Examples

myMat <- rbind(c(3,4,5),c(6,6,6), c(0,2,4))
entropySpecificity(myMat)
entropySpecificity(myMat, norm=TRUE)

myRandomMat <- matrix(runif(1000), ncol=20)
entropySpecificity(myRandomMat)
entropySpecificity(myRandomMat, norm=TRUE)

Accio/BioQC documentation built on Jan. 27, 2022, 10:45 p.m.