
I browsed through your paper.
It looks like CORNA is not another pair (miRNA - target gene) prediction program like miRANDA and so on ...  ?
If I am guessing right (am I ... ?) then what is CORNA basing its miRNA -target_gene affinity score on ?

In my mind I have the three phases that miRANDA uses to score such "affinity". Phase-1 implements some empirical Biology rules, phase-2 implements free energy minimization, phase-3 implements conservation of species. Each phase is a finer screening that assigns a score to the target match. The final score is the total.

I cannot understand which criteria (empirical or computational) are at the base of CORNA assessment.
Is it a synthesis of the predictions of the many programs like miRANDA (for instance many are referred in miRecords).
How is the  (miRNA-target_gene) prediction, from computational programs like miRANDA, accounted for by CORNA ?
How is the biologists' (miRNA-target_gene) validation  accounted for by CORNA ?
I read it uses a number of statistical tests but I cannot figure out which data the statistics is applied to ... maybe because
I am not familiar with the information stored in the databases mentioned in the paper.

Thank you.
Kind regards,
Maura



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