Introducing TEC-LncMir for practical prediction of lncRNA-miRNA interactions through deep learning of RNA sequence data
Yu Wang,
Tingpeng Yang,
Yonghong He
Abstract:The interactions between long non-coding RNA (lncRNA) and microRNA (miRNA) play critical roles in many life processes, highlighting the necessity to further advance the performance of the state-of-the-art models. Here, we introduced a novel approach, named TEC-LncMir, for lncRNA-miRNA interaction prediction based on Transformer Encoder and convolutional neural networks (CNNs). TEC-LncMir treats both lncRNA and miRNA sequences as natural languages and encodes them using the Transformer Encoder. It then combines… Show more
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