select_rho_partial: Data preprocessing for partial correlaton analysis
In kg737/INDEED_Patch: Integrated Differential Expression and Differential Network Analysis (INDEED)
Description
Usage
Arguments
Value
Examples
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.
Usage
1
2
select_rho_partial(data = NULL, class_label = NULL, id = NULL,
error_curve = "YES")
Arguments
data
The input matrix of expression from all metabolites from all samples that will be preprocessed for Step 1.
class_label
This is a binary array with 0 for group 1 and 1 for group 2.
id
This is an array of biomolecule ID to label.
error_curve
The default is "YES". This is an option on whether a error curve plot will be
printed, user can choose "YES" or "NO".
Value
A list of processed data for the next step, and generates an error curve to select rho for group 1 and 2.
Examples
1
select_rho_partial(data = Met_GU, class_label = Met_Group_GU,id = Met_name_GU, error_curve = "YES")
kg737/INDEED_Patch documentation built on May 22, 2019, 6:32 p.m.
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Description Usage Arguments Value Examples
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.
Usage
1 2 | select_rho_partial(data = NULL, class_label = NULL, id = NULL,
error_curve = "YES")
|
Arguments
data |
The input matrix of expression from all metabolites from all samples that will be preprocessed for Step 1. |
class_label |
This is a binary array with 0 for group 1 and 1 for group 2. |
id |
This is an array of biomolecule ID to label. |
error_curve |
The default is "YES". This is an option on whether a error curve plot will be printed, user can choose "YES" or "NO". |
Value
A list of processed data for the next step, and generates an error curve to select rho for group 1 and 2.
Examples
1 | select_rho_partial(data = Met_GU, class_label = Met_Group_GU,id = Met_name_GU, error_curve = "YES")
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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