entropyMM: Miller-Madow corrected Entropy Estimate

In synRNASeqNet: Synthetic RNA-Seq Network Generation and Mutual Information Estimates

Description

Computing the Miller-Madow corrected Entropy Estimate of cellCounts.

Usage

entropyMM(cellCounts, unit = unit)

Arguments

cellCounts	an integer vector (or matrix) representing the number of times each particular count is obtained.
unit	the unit in which entropy is measured. One of "bit" (log2, default), "ban" (log10) or "nat" (natural units).

Value

The entropyMM function returns the value of the entropy of that gene H(X) (or pair of genes H(X,Y)).

Author(s)

Luciano Garofano [e-mail], Stefano Maria Pagnotta, Michele Ceccarelli

References

Miller G.A. (1955). Note on the bias of information estimates. Information Theory in Psychology, II-B pp. 95-100.

See Also

entropyML, entropyBayes, entropyCS, entropyShrink

Examples

simData <- simulatedData(p = 50, n = 100, mu = 100, sigma = 0.25,
                        ppower = 0.73, noise = FALSE)
cellCounts <- table(simData$counts[1, ])
eMM <- entropyMM(cellCounts, unit = "nat")

synRNASeqNet documentation built on May 2, 2019, 6:01 a.m.