miTarDigger: A Fusion Deep-learning Approach for Predicting Human miRNA Targets

MicroRNAs (miRNAs) are small non-coding RNAs that achieve post-transcriptional regulation of RNA silencing and gene expression by targeting messenger RNAs (mRNAs). Rapid and effective detection of miRNAs target sites is a significantly important topic in bioinformatics. In this study, a deep learnin...

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Vydané v:	2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) s. 2891 - 2897
Hlavní autori:	Yan, Jianrong, Li, Yanan, Zhu, Min
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 16.12.2020
Predmet:	convolutional denoising autoencoders Decoding deep learning Feature extraction Immune system miRNA miRNA target site Noise reduction Predictive models Regulation RNA stacked denoising autoencoders
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