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Titel:

Precursor microRNA Identification Using Deep Convolutional Neural Networks

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Do, Binh Thanh; Golkov, Vladimir; Gurel, Goktug Erce; Cremers, Daniel
Abstract:
Precursor microRNA (pre-miRNA) identification is the basis for identifying microRNAs (miRNAs), which have important roles in post-transcriptional regulation of gene expression. In this paper, we propose a deep learning method to identify whether a small non-coding RNA sequence is a pre-miRNA or not. We outperform state-of-the-art methods on three benchmark datasets, namely the human, cross-species, and new datasets. The key of our method is to use a matrix representation of predicted secondary s...     »
Zeitschriftentitel:
bioRxiv
Jahr:
2018
Volltext / DOI:
doi:10.1101/414656
WWW:
https://www.biorxiv.org/content/early/2018/09/11/414656
Verlag / Institution:
Cold Spring Harbor Laboratory
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