NBumi_FitDispVsMean: Fit function between mean and dispersion
In tallulandrews/M3D: Michaelis-Menten Modelling of Dropouts in single-cell RNASeq

Description Usage Arguments Details Value Examples

Fits a power-law relationship between mean expression and dispersion.

1	NBumiFitDispVsMean(fit, suppress.plot=TRUE)

`fit`	output from NBumiFitModel or NBumiFitBasicModel.
`suppress.plot`	Whether to plot the calculated fit.

Fits a power-law relationship between mean expression and fitted gene-specific dispersions, using linear regression on ln transformed values. Lowly expressed genes, mean expression < 2^4, are excluded as long as at least 2000 genes remain for fitting.

Coefficients of linear regression.

	library(M3DExampleData)
	counts <- as.matrix(Mmus_example_list$data);
	counts <- counts[rowSums(counts) > 0,];
	fit <- NBumiFitModel(counts);
	coeffs <- NBumiFitDispVsMean(fit, suppress.plot=TRUE);