Because the gene expression details used for the calculation of PCC are not affect to cause diabetes disease.
Using these genes expression details of each query disease, Pearson correlation coefficient (PCC) was calculated [ 29- 31] for each gene-gene interaction in the gene-gene network.
Although some gene expression details have been reported [ 10, 11], relatively little is known about this transition at the molecular level.
After identifying the tissues for each disease, the gene expression details for each tissue sample were downloaded from the NCBI website.
By using these genes expression details of each tissue in each query disease, PCC was calculated for the entire gene-gene network.
After identifying the tissues related to each query disease gene expression, details of these tissues were downloaded from GEO in the national center for biotechnology information (NCBI) website.
Multiple studies have shown that lncRNA expression details vary for different classes [ 21, 22] and there is evidence that lncRNAs participate in multiple networks regulating gene expression and function [ 23].
After the creation of the tissue-specified genes (TSG) network for each tissue, each interaction was weighed by considering the relationship between gene and different phenotypes along with gene expression details of each query disease.
