generateComorbidityAnalysis: Comorbidity Analysis Tool

View source: R/CA_algorithm.R

generateComorbidityAnalysisR Documentation

Comorbidity Analysis Tool

Description

Given a list of diseases used as input, this tool can be used to predict comorbidity according to an algorithm. For more details of the methodology refer to PCOSKBR2: a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome.

Usage

generateComorbidityAnalysis(disease_list =  c("Psychomotor Disorders", "Psychosexual Disorders" , "Pubertal Disorder"),
 algorithm = c("Shared genes", "Uniqueness of shared genes", "Shared ontologies", "Network-based seperation"))

Arguments

disease_list

Diseases for which comorbidity with PCOS will be analyzed. A possible list of diseases can be retrieved using the listDiseases function.

algorithm

One of four algorithms used to perform the analysis. A possible list of algorithms can be retrieved using the listAlgorithms function.

Value

A matrix with scores in each cell indicating the risk of comorbidity between two diseases and generates a heatmap with the risks.

Author(s)

Omar Hassoun

Examples

generateComorbidtiyAnalysis(disease_list = c("Psychomotor Disorders", "Psychosexual Disorders" , "Pubertal Disorder"),
                                   algorithm = "Shared genes")

omtarful/pcoskbR documentation built on March 20, 2022, 8:22 a.m.