Prediction of RNA secondary structure using generalized centroid estimators

Novel estimators are proposed which improve the accuracy of secondary structure prediction of RNAs and represent extensions of the centroid estimators proposed in Ding et al. and Carvalho and Lawrence, and are applicable to a wide variety of problems in bioinformatics.