Up to now, there exist some computational approaches to measure the similarity between two diseases. According to the usage of diverse biological data, more than 20 methods are classified into four classes (including semantic-based, function-based, text mining-based and information fusion-based methods) and their results are collected by us. The relevant information is shown as the table below.

The summary of related approaches

The type of approaches The name of approaches The utilization of data types The number of disease The type of disease ID Year Resource
Semantic-based Resink measure DO 2425 DO 1995 Download
Jiang measure DO 2425 DO 1997 Download
Lin measure DO 2425 DO 1998 Download
Relevance measure DO 2425 DO 2006 Download
Wang measure DO 2427 DO 2007 Download
Li measure DO 2425 DO 2010 Download
Function-based BOG DO, genes 2427 DO 2010 Download
PSB GO, genes 2427 DO 2012 Download
ICod PPI, genes 2427 DO 2014 Download
FunSim PPI (weighted), genes 2416 DO 2014 Download
Sun measure Genes, PPI, GO 2427 DO 2014 Download
InfoFlowSim PPI, genes 2534 DO 2014 Download
Yang measure Genes, expression data profiles, pathways 108 disease name 2015 Download
NetSim PPI (weighted), genes 2417 DO 2016 Download
ModuleSim PPI, genes 2427 DO 2018 Download
Text mining-based MimMiner Phenotypes 5080 OMIM 2006 Link
CosineDFV Symptoms 4218 MeSH 2014 Download
LDDSim Genes, drugs 2727 PharmGKB 2015 Download
MicrobeSim Microbes 39 disease name 2017 Download
Information fusion-based RADAR Genes, pathways 1626 MeSH 2019 Download
mpDisNet PPI, miRNAs, genes 394 MeSH 2019 Download