RNAfcg: RNA Flexibility Prediction Based on Topological Centrality and Global Features
Fubin Chang,
Lamei Liu,
Fangrui Hu
et al.
Abstract:The dynamics of RNAs are related intimately to their functions. Molecular flexibility, as a starting point for understanding their dynamics, has been utilized to predict many characteristics associated with their functions. Since the experimental measurement methods are time-consuming and laborintensive, it is urgently needed to develop reliable theoretical methods to predict RNA flexibility. In this work, we develop an effective machine learning method, RNAfcg, to predict RNA flexibility, where the Random For… Show more
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