generateComorbidityAnalysis | R Documentation |
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.
generateComorbidityAnalysis(disease_list = c("Psychomotor Disorders", "Psychosexual Disorders" , "Pubertal Disorder"),
algorithm = c("Shared genes", "Uniqueness of shared genes", "Shared ontologies", "Network-based seperation"))
disease_list |
Diseases for which comorbidity with PCOS will be analyzed. A possible list of diseases can be retrieved using the |
algorithm |
One of four algorithms used to perform the analysis. A possible list of algorithms can be retrieved using the |
A matrix
with scores in each cell indicating the risk of comorbidity between two diseases and generates a heatmap with the risks.
Omar Hassoun
generateComorbidtiyAnalysis(disease_list = c("Psychomotor Disorders", "Psychosexual Disorders" , "Pubertal Disorder"),
algorithm = "Shared genes")
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