doGLMnet: Evaluate a glmSingleCellAssay classifier

In amcdavid/SingleCellAnalysis: Tools for Analysis of Zero-Inflated, Continuous Data

Description

Wraps a glmnet classifier (derived from glmSingleCellAssay) to get the scores (coefficients) and predictions.

Usage

doGLMnet(train, predict, s = "lambda.1se")

Arguments

train	output from glmSingleCellAssay, used for its fitted coefficients
predict	output from glmSingleCellAssay, used for its model.matrix to predict (possibly) out of sample
s	glmnet penalty parameter, default 'lambda.1se'

Value

object of class 'Linear Classifier' and 'matrix'

See Also

doLDA, annotateBiPlot, glmSingleCellAssay

amcdavid/SingleCellAnalysis documentation built on May 10, 2019, 10:27 a.m.