sampleSpecialization {BioQC}R Documentation

Entropy-based sample specialization

Description

Entropy-based sample specialization

Usage

sampleSpecialization(mat, norm = TRUE)

Arguments

mat

A matrix (usually an expression matrix), with genes (features) in rows and samples in columns.

norm

Logical, whether the specialization should be normalized by log2(ncol(mat)).

Value

A vector as long as the column number of the input matrix

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 and entropyDiversity

Examples

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

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

[Package BioQC version 1.14.0 Index]