Corrigendum: NCNet: Deep Learning Network Models for Predicting Function of Non-Coding DNA

Frontiers in Genetics

Xiaoye Hu¹  Yi-Yang Lin³  Meiyuan Liu³  Che-Lun Hung⁶  Hanyu Zhang⁸ 

[1] Institute of Guangzhou Medical University, Guangzhou, China;AI Innovation Research Center, Chang Gung University, Taoyuan City, Taiwan;;Affiliated Cancer Hospital &College of Computing and Informatics, Providence University, Taichung City, Taiwan;Department and Graduate Institute of Computer Science and Information Engineering, Chang Gung University, Taoyuan City, Taiwan;Department of Computer Science and Communication Engineering, Providence University, Taichung City, Taiwan;Division of Rheumatology, Allergy and Immunology, Chang Gung Memorial Hospital, Taoyuan City, Taiwan;Labo MICS, École CentraleSup élec, Université Paris Saclay, Gif-sur-Yvette, France;

关键词: Non-coding DNA;    residual learning;    LSTM;    sequence to sequence learning;    deep learning;   

DOI  :  10.3389/fgene.2019.00923

来源: DOAJ

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