diff_data.assembly: Assembling the differential/regression data

In influential: Identification and Classification of the Most Influential Nodes

Assembling the differential/regression data

Description

This function assembles a dataframe required for running the ExIR model. You may provide as many differential/regression data as you wish. Also, the datasets should be filtered beforehand according to your desired thresholds and, consequently, should only include the significant data. Each dataset provided should be a dataframe with one or two columns. The first column should always include differential/regression values and the second one (if provided) the significance values. Please also note that the significance (adjusted P-value) column is mandatory for differential datasets.

Usage

diff_data.assembly(...)

Arguments

...	Desired datasets/dataframes.

Value

A dataframe including the collective list of features in rows and all of the differential/regression data and their statistical significance in columns with the same order provided by the user.

See Also

exir

Examples

## Not run: 
my.Diff_data <- diff_data.assembly(Differential_data1,
                                   Differential_data2,
                                   Regression_data1)

## End(Not run)

influential documentation built on Nov. 19, 2023, 9:06 a.m.