A miRNA Target Prediction Model Based on Distributed Representation Learning and Deep Learning

<div>The procedure for training mi2vec and m2vec. The corpus of miRNA and mRNA sequences obtained from miRBase and Refseq. Treat each miRNA and mRNA sequence as a special sentence, and treat the nucleotides as the words that make up the sentence. Use the skip-gram model to train a vocabulary list composed of nucleotides, and get the vectorized representation of the nucleotides.</div>

Computational and Mathematical Methods in Medicine

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Figure 2: A miRNA Target Prediction Model Based on Distributed Representation Learning and Deep Learning 