convert_expression_settings_evaluation_regression: Convert expression settings to correct settings format for...

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

Convert expression settings to correct settings format for evaluation of target gene log fold change prediction (regression).

Description

convert_expression_settings_evaluation_regression Converts expression settings to correct settings format for evaluation of target gene log fold change prediction (regression).

Usage

convert_expression_settings_evaluation_regression(setting)

Arguments

setting

A list containing the following elements: .$name: name of the setting; .$from: name(s) of the ligand(s) active in the setting of interest; .$diffexp: data frame or tibble containing at least 3 variables= $gene, $lfc (log fold change treated vs untreated) and $qval (fdr-corrected p-value)

Value

A list with following elements: $name, $from, $response. $response will be a gene-named numeric vector of log fold change values.

Examples

## Not run: 
settings = lapply(expression_settings_validation,convert_expression_settings_evaluation_regression)

## End(Not run)

saeyslab/nichenetr documentation built on March 26, 2024, 9:22 a.m.