kimono: Run Kimono - Knowledge-guIded Multi-Omic Netowrk inference
In cellmapslab/kimono: Knowledge-guIded Multi-Omic NetOwrk inference

View source: R/kimono.R View source: R/.ipynb_checkpoints/kimono-checkpoint.R

kimono

R Documentation

Run Kimono - Knowledge-guIded Multi-Omic Netowrk inference

Description

Run Kimono - Knowledge-guIded Multi-Omic Netowrk inference

Usage

kimono(
  input_data,
  prior_network,
  imputed_data = NULL,
  method = "sgl",
  ADW_calculation = FALSE,
  min_features = 2,
  sel_iterations = 0,
  core = 1,
  specific_layer = NULL,
  scdata = FALSE,
  infer_missing_prior = FALSE,
  saveintermediate = FALSE,
  ...
)

Arguments

`input_data`	- list of omics data. First list element will be used as predictor
`prior_network`	- igraph with prior information
`min_features`	- autoexclude models with less than 2 features (defaul
`core`	- if core != 1 kimono will perform an parallell computation
`specific_layer`	- specify layer
`scdata`	- if single cell data
`infer_missing_prior`	- if kimono should infer missing prior
`saveintermediate`	- save each intermediate result
`DEBUG`	- only run on subset