add_new_datasource: Add a new data source to the model

In saeyslab/nichenetr: NicheNet: Modeling Intercellular Communication by Linking Ligands to Target Genes

Add a new data source to the model

Description

add_new_datasource adds a new data source to one of the ligand-receptor, signaling and gene regulatory data sources.

Usage

add_new_datasource(new_source, network, new_weight,source_weights_df)

Arguments

new_source	A data frame / tibble containing novel interactions of the ligand-receptor, signaling or gene regulatory layer (required columns: from, to, source)
network	NULL or a data frame / tibble containing the base network to which you want to add the new data source (required columns: from, to, source)
new_weight	a weight value between 0 and 1 to assign to your new data source
source_weights_df	A data frame / tibble containing the weights associated to each already included individual data source (required columns: source, weight).

Value

A list containing 2 elements (network and source_weights_df): the updated network containing your data source and the updated source_weights_df containing the weight of the newly added data source.

Examples

 ## Not run: 
## Update the lr_network with a new ligand-receptor data source
library(dplyr)
lr_toy = tibble(from = "A", to = "B", source = "toy")
new_lr_network = add_new_datasource(lr_toy, lr_network,1,source_weights_df)

## End(Not run)

saeyslab/nichenetr documentation built on April 27, 2024, 9:24 p.m.