most citedReview of Machine-Learning Methods for RNA Secondary Structure Prediction

114 citations · 114 across the 1 of their papers we have counts for

collaborators

1 paper

q-bio.BM2020★ 114 cited

Review of Machine-Learning Methods for RNA Secondary Structure Prediction

Qi Zhao, Zheng Zhao, Xiaoya Fan +3

Secondary structure plays an important role in determining the function of non-coding RNAs. Hence, identifying RNA secondary structures is of great value to research. Computational…