retrainProgenitorModel: Train the model to classify progenitors and neurons

In maplesword/RefSimSpec:

Description

This function uses three single cell RNA-seq data sets (Camp, et al. 2015; Darmanis, et al. 2015; Close, et al. 2016) to construct a rank-based LASSO-logistic regression model to classify progenitor cells from neurons given their transcriptome profiles.

Usage

retrainProgenitorModel(input, threads = 1, numLasso = 100,
  verbose = TRUE)

Arguments

input	The input matrix, with its rows named by gene symbol.
threads	The number of threads used to run training.
numLasso	The number of training used to determine genes used in the final model.
verbose	Whether to output the progress information.

Value

A list with two components: 'gene' for the list of genes to be ranked; 'coefficients' for the model coefficients.

maplesword/RefSimSpec documentation built on May 23, 2019, 1:47 p.m.