scGAN_simulation: Simulate Datasets by scGAN

In duohongrui/simmethods: A collection of 40+ simulation methods for singlce-cell RNA seqencing data

Simulate Datasets by scGAN

Description

This function is used to simulate datasets from learned parameters in the docker container.

Usage

scGAN_simulation(parameters, return_format, verbose = FALSE, seed)

Arguments

parameters	A object generated by scGAN_estimation()
return_format	A character. Alternatives choices: list, SingleCellExperiment, Seurat, h5ad. If you select h5ad, you will get a path where the .h5ad file saves to.
verbose	Logical. Whether to return messages or not.
seed	A random seed.

References

Marouf M, Machart P, Bansal V, et al. Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks. Nature communications, 2020, 11(1): 1-12.

duohongrui/simmethods documentation built on June 17, 2024, 10:49 a.m.