Prediction of RNA secondary structure using generalized centroid estimators | Zendy

Michiaki Hamada | Zendy; Hisanori Kiryu | Zendy; Kengo Sato | Zendy; Toutai Mituyama | Zendy; Kiyoshi Asai | Zendy

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Prediction of RNA secondary structure using generalized centroid estimators

Author(s) -

Michiaki Hamada,

Hisanori Kiryu,

Kengo Sato,

Toutai Mituyama,

Kiyoshi Asai

Publication year - 2008

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btn601

Subject(s) - estimator , centroid , computer science , decoding methods , nucleic acid secondary structure , basis (linear algebra) , algorithm , protein secondary structure , function (biology) , software , data mining , mathematics , statistics , artificial intelligence , rna , biology , biochemistry , geometry , evolutionary biology , gene , programming language

Recent studies have shown that the methods for predicting secondary structures of RNAs on the basis of posterior decoding of the base-pairing probabilities has an advantage with respect to prediction accuracy over the conventionally utilized minimum free energy methods. However, there is room for improvement in the objective functions presented in previous studies, which are maximized in the posterior decoding with respect to the accuracy measures for secondary structures.

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