comorbidityAnalysisMolecular: Comorbidity Analysis 'comorbidityAnalysisMolecular'

In aGutierrezSacristan/comorbidity: Analyze comorbidities from electronic health record data

Description

Given an object of type molecularComorbidity, a comorbidity analysis is perform, taking into account the number of genes shared between the disorders. It generates a molecularcAnalysis object.

Usage

comorbidityAnalysisMolecular(input, pValue = FALSE, nboot = 100,
  ncores = 1, verbose = FALSE, warnings = TRUE)

Arguments

input	A molecularComorbidity object, obtained with the queryMolecular function.
pValue	Determines if the p-value is estimated or not. By default it is set to 'FALSE'. The pValue argument can be set to 'TRUE' in order to estimate the P-value associated to each Jaccard Index.
nboot	Determines the number of random times that the Jaccard Index is computed using random sets. By default it is set to 100. The value of the argument can be changed to any other numeric variable.
ncores	By default 1. To run parallel computations on machines with multiple cores or CPUs, the ncores argument can be changed.
verbose	By default FALSE. Change it to TRUE to get a on-time log from the function.
warnings	By default TRUE. Change it to FALSE to don't see the warnings.

Value

An object of class molecularcAnalysis

Examples

load(system.file("extdata", "mc.RData", package="comoRbidity"))
ex1 <- comorbidityAnalysisMolecular( 
              input      = mc, 
              pValue     = FALSE,
              verbose    = FALSE
              )

aGutierrezSacristan/comorbidity documentation built on April 10, 2020, 5:54 p.m.