GARS_create_rnd_population: Create a random chromosomes population

In BioinfoMonzino/GARS: GARS: Genetic Algorithm for the identification of Robust Subsets of variables in high-dimensional and challenging datasets

Description

This function creates the initial random population of chromosomes

Usage

GARS_create_rnd_population(data, chr.len, chr.num = 1000)

Arguments

data	A SummarizedExperiment object or a matrix or a data.frame. In case of matrix or data.frame: Rows and Cols have to be, respectively, observations and features. The variables are tipically genes; GARS also accept other -omic features as well as any continuous or factorial variables (e.g. sex, age, cholesterol level,...); Usually the number of observation is << than the number of features '
chr.len	The length of chromosomes. This value corresponds to the desired length of the feature set.
chr.num	The number of chromosomes to generate. Default is 1000

Value

A matrix representing the chromosomes population: each column is a chromosome and each element correspond to the feature position in 'data'

Author(s)

Mattia Chiesa, Luca Piacentini

Examples

# use example data:
data(GARS_data_norm)
GARS_create_rnd_population(GARS_data_norm, chr.len=10, chr.num=100)

BioinfoMonzino/GARS documentation built on Aug. 2, 2021, 1:08 a.m.