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The Gephi tool [31] was used to compute these measures for all subnetworks generated for the set of diseases and drugs.
As the PhenomiR data set is dominated by cancer-related diseases (60%), we divided the set of diseases into a subset of cancer and non-cancer related microRNAs to study differences between both groups.
Different groups define the set of diseases.
Both sources of gene lists use the set of diseases as defined by MeSH (Medical Subject Headings).
It has also been suggested that the relationship between sex and multimorbidity may be dependent on the set of diseases being considered [ 13].
The set of diseases and phenotypes provides a starting point for candidate gene approaches and for the selection of biomarkers for monitoring nutrition and health.
This implies that there is no higher rate of microRNA targets in the set of disease proteins than expected.
The 4 229 terms in MeSH 2007 in Category C "Diseases" composed the set of disease entities.
We describe the task as follows: given an abstract, return the set of disease concepts mentioned.
We augmented the set of disease genes from DGN with human genes with known protein sequences.
We split the set of disease genes (DIS) into the set of 896 disease genes that belong to the large component (LARGECOMP) and the set of 855 disease genes that belong to one of the smaller components (SMALLCOMPS).
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