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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/explore_network.R
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\name{define_output}
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\alias{define_output}
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\title{Define output from hummus object}
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\usage{
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define_output(
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  output_type,
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  hummus_object,
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  multiplex_names = NULL,
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  bipartites_names = NULL,
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  config_name = "config.yml",
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  config_folder = "config",
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  tf_multiplex = "TF",
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  atac_multiplex = "peaks",
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  rna_multiplex = "RNA",
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  multilayer_f = "multilayer",
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  gene_list = NULL,
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  tf_list = NULL,
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  save = FALSE,
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  output_f = NULL,
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  return_df = TRUE,
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  suffix_bipartites = ".tsv",
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  njobs = 1
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)
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}
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\arguments{
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\item{output_type}{The type of output to be defined}
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\item{hummus_object}{A hummus object}
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\item{multiplex_names}{A vector of multiplex names considered.
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It must be a subset of the names of the multiplexes in the hummus object.}
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\item{bipartites_names}{A vector of bipartites names considered.
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It must be a subset of the names of the bipartites in the hummus object.}
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\item{config_name}{The name of the config file to be created by hummuspy}
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\item{config_folder}{The folder where the config file will be created}
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\item{tf_multiplex}{The name of the multiplex containing the TFs}
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\item{atac_multiplex}{The name of the multiplex containing the ATAC-seq peaks}
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\item{rna_multiplex}{The name of the multiplex containing the RNA-seq genes}
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\item{multilayer_f}{The folder where the multilayer is stored}
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\item{gene_list}{A vector of genes to be considered for the target_genes
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(filtering is done on the genes before inferring the target_genes)}
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\item{tf_list}{A vector of TFs to be considered for the final target_genes
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(filtering is done on the TFs after inferring the target_genes)}
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\item{save}{A boolean indicating if the target_genes should be saved}
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\item{output_f}{The name of the file where the target_genes should be saved
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(if save == TRUE)}
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\item{return_df}{A boolean indicating if the target_genes should be returned
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as a dataframe}
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\item{suffix_bipartites}{A suffix to add to the bipartites names (to indicate
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the exact file location)}
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\item{njobs}{The number of jobs to be used to compute of the target_genes}
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}
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\value{
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A dataframe containing the target_genes (if return_df == TRUE)
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}
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\description{
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Define output from hummus object
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}
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\examples{
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target_genes <- define_output('grn', hummus_object = hummus)
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}