Mar 30, 2016 · Leveraged by deep recurrent neural networks-based auto-encoding and sequence-sequence interaction learning, our approach not only delivers an ...
Oct 2, 2016 · deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks.
Aug 19, 2016 · ABSTRACT. MicroRNAs (miRNAs) are short sequences of ribonucleic acids that control the expression of target messenger RNAs (mRNAs).
The proposed end-to-end machine learning framework, Leveraged by deep recurrent neural networks-based auto-encoding and sequence-sequence interaction ...
Feb 12, 2024 · Leveraged by deep recurrent neural networks-based auto-encoding and sequence-sequence interaction learning, our approach not only delivers an ...
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Aug 5, 2016 · Algorithm is based on Recurrent Neural Networks (RNNs)-based autoencoders for prediction of miRNA targets based on miRNA:mRNA sequence ...
DeepTarget [8] is an end-to-end model at the two levels of processing site and gene. The feature extraction of miRNA and mRNA is carried out by autoencoder, ...
In this article, we introduce TargetNet, a novel deep learning-based algorithm for functional miRNA target prediction (Fig. 1). To address the previous ...
Jul 25, 2022 · Deeptarget: end-to-end learning framework for microrna target prediction using deep recurrent neural networks. Proceedings of the 7th ACM ...
Jun 23, 2022 · DeepTarget [51] is an end-to-end miRNA–mRNA prediction method based on RNN and AE. It first pretrains two AEs as the encoders to obtain the ...