To distinguish the real pre-miRNAs from other hairpin sequences with similar stem-loops (pseudo pre-miRNAs), a hybrid feature which consists of local contiguous ...

Abstract · INTRODUCTION · RESULTS AND DISCUSSION

Sep 13, 2007 · Given a sequence, MiPred decides whether it is a pre-miRNA-like hairpin sequence or not. If the sequence is a pre-miRNA-like hairpin, ...

MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features · Peng Jiang, Haonan Wu, +3 authors

MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features. Nucleic Acids Res 35:W339-344.

MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features. ; Publication Type, Journal Article.

MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features. Authors. Jiang, Peng; Wu, Haonan ...

... MiPred: Classification of Real and Pseudo MicroRNA Using Random Forest Prediction Model with Combined Features. Nucleic Acids Res. 35, W339–W344 (2007).

Feb 20, 2009 · Here we present the development of an effective classifier system (named as microPred) for this classification problem by using appropriate machine learning ...

Mar 30, 2015 · (2007) MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features. Nucleic ...