NBumi_FSHighVar: Variance-based Feature Selection

Description Usage Arguments Details Value Examples

Description

Ranks genes by residual dispersion from mean-dispersion power-law relationship.

Usage

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Arguments

fit

output from NBumiFitModel or NBumiFitBasicModel.

Details

Uses linear regression on log-transformed mean expression and fitted dispersions. Ranks genes by the residuals of this fit, negative = high variance, positive = low variance.

Value

Sorted vector of residuals.

Examples

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	library(M3DExampleData)
	counts <- NBumiConvertData(Mmus_example_list$data)
	fit <- NBumiFitModel(counts);
	HVGs <- names(NBumiFeatureSelectionHighVar(fit)[1:2000]);

tallulandrews/M3D documentation built on May 31, 2019, 2:55 a.m.