class_reduction: Compilation of a non-redundant dataset based on classes

In narodkebabci/gRoR: Compilation of an unbiased mutation dataset

Description

This function takes the data frame, class labels, experimental DDG values, and the mutations' biochemical features. With this function, the dataset can be filtered based on class, secondary structure, and relative ASA of the mutations.

Usage

class_reduction(data, classes, DDG, SS = NULL, ASA = NULL)

Arguments

data	A redundant dataset of mutations
classes	Column name of labels
DDG	Column name of Experimental DDG values
SS	Default is Null. Specify the column name that contains secondary structure information
ASA	Default is Null. Specify the column name that contains relative ASA information

Value

A list of reduced dataset and a box plot

Examples

class_reduction(data = df, classes = "Classes", DDG = "Experimental")
class_reduction(data = df, classes = "Classes", DDG = "Experimental", SS = "SStructure")

narodkebabci/gRoR documentation built on Jan. 18, 2022, 10:09 p.m.