% Generated by roxygen2: do not edit by hand

% Please edit documentation in R/select_rho_partial.R

\name{select_rho_partial}

\alias{select_rho_partial}

\title{Data preprocessing for partial correlation analysis}

\usage{

select_rho_partial(

  data = NULL,

  class_label = NULL,

  id = NULL,

  error_curve = TRUE

)

}

\arguments{

\item{data}{This is a p*n dataframe that contains the expression levels for all biomolecules and samples.}

\item{class_label}{This is a 1*n dataframe that contains the class label with 0 for group 1 and 1 for group 2.}

\item{id}{This is a p*1 dataframe that contains the ID for each biomolecule.}

\item{error_curve}{This is a boolean value indicating whether to plot the error curve (TRUE) or not (FALSE). 

The default is TRUE.}

}

\value{

A list of processed data for the next step, and an error curve to select optimal rho value

    for graphical lasso.

}

\description{

A method that integrates differential expression (DE) analysis

    and differential network (DN) analysis to select biomarker candidates for

    cancer studies. select_rho_partial is the pre-processing step for INDEED

    partial differential analysis.

}

\examples{

select_rho_partial(data = Met_GU, class_label = Met_Group_GU, id = Met_name_GU, 

    error_curve = TRUE)

}