cTPnet: Imputation of 12 surface proteins from scRNA-seq data.

In zhouzilu/cTPnet: Single cell Transcriptome to Protein prediction with deep neural network (cTP-net)

Imputation of 12 surface proteins from scRNA-seq data.

Description

Imputation of 12 surface proteins from scRNA-seq data.

Usage

cTPnet(data, data_type = "Seurat2", model_file_path)

Arguments

data	data file: can be Seurat object, a matrix or a dataframe.
data_type	specify type of data.Need to be one of the four options: Seurat2, Seurat3, matrix, dataframe. You can check your Seurat version by sessionInfo()'
model_file_path	str: indicate the path to the trained cTPnet pytorch model for the prediction

Value

If input is Seurat object, the returned value will also be a Seurat object; if input is matrix or dataframe, the returned value will be a dataframe with rows as proteins and columns as cells.

zhouzilu/cTPnet documentation built on July 13, 2022, 2:54 a.m.