RNA-MethylPred

Identifies N6-methyladenosine (m6A) modification. RNA-MethylPred uses Bi-profile Bayes, dinucleotides composition, and k nearest neighbor (KNN) scores to incorporate it in three feature extractions. It achieved a Matthew’s correlation coefficient (MCC) of 0.29 in a jack-knife test. The tool helps to underling exact molecular mechanisms in physiological and pathological processes. It can differentiate more difficult N6-methyladenosine sites that cannot be readily detected by other m6A predictors.