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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Veröffentlicht in:	2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) S. 2891 - 2897
Hauptverfasser:	Yan, Jianrong, Li, Yanan, Zhu, Min
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 16.12.2020
Schlagworte:	convolutional denoising autoencoders Decoding deep learning Feature extraction Immune system miRNA miRNA target site Noise reduction Predictive models Regulation RNA stacked denoising autoencoders
Online-Zugang:	Volltext
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