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OmicInt (version 1.1.7)

class_map: class_map

Description

Function provides visualisation of how the highest and lowest LFCscore genes cluster based on protein class data. Function requires a data frame generated by the score_genes function.

Usage

class_map(data, num = 0)

Arguments

data

Requires a data frame generated by score_genes; class - data frame

num

a number for genes to cluster from top upregulated and downregulated genes, if not selected all genes will be used; default 0, i.e. do not select a smaller set; class - integer

Value

dendogram; class - plot

Examples

Run this code
# NOT RUN {
path_to_test_data<- system.file("extdata", "test_data.tabular", package="OmicInt")
# basic usage of class_map
df<-utils::read.table(path_to_test_data)
class_map(df)
# }

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