k_centroids: Function to calculate the centroids of different groups...

In GSgalgoR: An Evolutionary Framework for the Identification and Study of Prognostic Gene Expression Signatures in Cancer

Description

This function calculates the mean value for each feature of each class to calculate the prototypic centroids of the different groups

Usage

k_centroids(data, class)

Arguments

data	a scaled gene expression matrix or data.frame with samples as columns and features as rows
class	a vector with the samples classes

Value

returns a data.frame with the estimated prototypic centroids for each class with the features names as rownames

Examples

# load example dataset
require(iC10TrainingData)
require(pamr)

data(train.Exp)

calculate_distance <- select_distance(distancetype = "pearson")
Dist <- calculate_distance(train.Exp)
k <- 4
Pam <- cluster_algorithm(Dist, k)
table(Pam$cluster)
centroids <- k_centroids(train.Exp, Pam)

GSgalgoR documentation built on Nov. 8, 2020, 6:57 p.m.