--- a
+++ b/man/select_rho_partial.Rd
@@ -0,0 +1,37 @@
+% 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)
+}