miTAR: a hybrid deep learning-based approach for predicting miRNA targets

BMC Bioinformatics

William Bradley Barbazuk¹  Tongjun Gu²  Xiwu Zhao³  Ji-Hyun Lee⁴ 

[1] Bioinformatics, Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, FL, USA;Department of Biology, University of Florida, Gainesville, FL, USA;Genetics Institute, University of Florida, Gainesville, FL, USA;Bioinformatics, Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, FL, USA;Division of Quantitative Sciences, University of Florida Health Cancer Center, University of Florida, Gainesville, FL, USA;Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA;Division of Quantitative Sciences, University of Florida Health Cancer Center, University of Florida, Gainesville, FL, USA;Department of Biostatistics, University of Florida, Gainesville, FL, USA;

关键词: Deep learning;    Hybrid model;    MiRNA target;    Convolutional neural networks;    Recurrent neural networks;   

DOI  :  10.1186/s12859-021-04026-6

来源: Springer

【 授权许可】

CC BY