predictExpression: Train a multi-response elastic-net regression for prediction...

In seasamgo/sera: Infer seqFISH expression patterns using scRNA-seq data

Description

Train a multi-response elastic-net regression for prediction using cross-validation to select lambda

Usage

predictExpression(training_x, training_y, prediction_x,
  lambda_mse = TRUE, family = "mgaussian", ...)

Arguments

training_x	A cell by gene expression matrix of training predictor data
training_y	A cell by gene expression matrix of training outcome data
prediction_x	A cell by gene expression matrix of testing predictor data
lambda_mse	Whether to select the lambda that minimizes the cross-validation, default TRUE
family	family parameter passed on to the glmnet function, default 'mgaussian'
...	additional parameters to pass on to the glmnet function

Value

Returns a list of the predicted outcome and model fit glmnet object

seasamgo/sera documentation built on May 14, 2019, 1:57 a.m.