NCNet: Deep Learning Network Models for Predicting Function of Non-Coding DNA (vol 10, 432, 2019)

被引：1

作者：

Zhang, Hanyu ^{[1
,2
]}

Hung, Che-Lun ^{[3
,4
,5
,6
]}

Liu, Meiyuan ^{[7
]}

Hu, Xiaoye ^{[7
]}

Lin, Yi-Yang ^{[6
]}

机构：

[1] Providence Univ, Coll Comp & Informat, Taichung, Taiwan

[2] Univ Paris Saclay, Ecole Cent Supelec, Lab MICS, Gif Sur Yvette, France

[3] Chang Gung Univ, Dept & Grad Inst Comp Sci & Informat Engn, Taoyuan, Taiwan

[4] Chang Gung Mem Hosp, Div Rheumatol Allergy & Immunol, Taoyuan, Taiwan

[5] Chang Gung Univ, AI Innovat Res Ctr, Taoyuan, Taiwan

[6] Providence Univ, Dept Comp Sci & Commun Engn, Taichung, Taiwan

[7] Guangzhou Med Univ, Affiliated Canc Hosp & Inst, Guangzhou, Guangdong, Peoples R China

来源：

关键词：

Non-coding DNA; residual learning; LSTM; sequence to sequence learning; deep learning;

D O I：

10.3389/fgene.2019.00923

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

引用

页数：1