predScSimilarity: Predicts expression data for class probability/similarity...

In zktuong/kelvinny: Kelvinny The Incredible!

Predicts expression data for class probability/similarity with a trained binomial/multinomial glmnet logistic regression model

Description

Predicts expression data for class probability/similarity with a trained binomial/multinomial glmnet logistic regression model

Usage

predScSimilarity(model, test, standardize = TRUE, l.min = FALSE, ...)

Arguments

model	trained model.
test	Seurat object, SummarizedExperiment object or expression matrix for prediction
standardize	a logical value specifying whether or not to standardize the test matrix
l.min	logical. FALSE will use lambda.1se for prediction
...	pass to predict function see ?predict.glmnet

Value

Generates prediction.

Examples

pred <- predScSimilarity(model, test.sce)

zktuong/kelvinny documentation built on July 18, 2024, 10:42 a.m.