GetModels_HPCA: Loads neural network models from GitHub

In SignacX: Cell Type Identification and Discovery from Single Cell Gene Expression Data

Description

GetModels_HPCA returns a list of neural network models that were trained with the HPCA training data. The HPCA training data has 18 classification tasks with bootstrapped training data. The training data are split into two distinct cellular phenotypes (i.e., immune and nonimmune). GetModels_HPCA downloads pre-computed neural networks trained to classify cells for each task (n = 100 models trained for each tasks).

Usage

GetModels_HPCA()

Value

list of 1,800 neural network models stacked to solve 18 classification problems.

See Also

SignacFast, ModelGenerator

Examples

## Not run: 
P = GetModels()

## End(Not run)

SignacX documentation built on Nov. 18, 2021, 5:07 p.m.