Dear all,
In the present study, we only detected the mRNA and lncRNA expression in the sample and got the differential mRNA and lncRNA expression. Then we applied WGCNA in combination with functional enrichment analysis to the available patient mRNA and lncRNA expression data to identify the hub genes, including lncRNAs involved in patient. Lastly, the ceRNA network in the disease will be constructed based on these results.
However, in order to construct the ceRNA network, we need to select the eligible miRNA which were predicted by the results of mRNA and lncRNA expression. Of cause, the selected eligible miRNA should be associated with the disease. Hence, we try to search the related article for each candidate miRNA in the PubMed and Google scholar. This is a very inefficient way.
So, how to select disease-related miRNA high-efficiency? (Conduct the selected way in the shell? Write code by R or python? or some miRNA website?)
Thanks a lot!
