DEEPSEN: a convolutional neural network based method for super-enhancer prediction

被引：0
|
作者：
Hongda Bu
Jiaqi Hao
Yanglan Gan
Shuigeng Zhou
Jihong Guan
机构：
[1] Department of Computer Science and Technology,
[2] Tongji University,undefined
[3] Shanghai Key Lab of Intelligent Information Processing,undefined
[4] and School of Computer Science,undefined
[5] Fudan University,undefined
[6] School of Computer Science and Technology,undefined
[7] Donghua University,undefined
来源：
BMC Bioinformatics | / 20卷
关键词：
Super-enhancer prediction; Deep learning; Convolutional neural network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Enhancer recognition and prediction during spermatogenesis based on deep convolutional neural networks
    Sun, Chengzhang
    Zhang, Ning
    Yu, Peng
    Wu, Xiaolong
    Li, Qun
    Li, Tongtong
    Li, Hao
    Xiao, Xia
    Shalmani, Abdullah
    Li, Leijie
    Che, Dongxue
    Wang, Xiaodan
    Zhang, Peng
    Chen, Ziyu
    Liu, Tong
    Zhao, Jianbang
    Hua, Jinlian
    Liao, Mingzhi
    MOLECULAR OMICS, 2020, 16 (05) : 455 - 464
  • [22] Bearing Life Prediction Method Based on Parallel Multichannel Recurrent Convolutional Neural Network
    Zhou, Jianmin
    Gao, Sen
    Li, Jiahui
    Xiong, Wenhao
    SHOCK AND VIBRATION, 2021, 2021
  • [23] Multigranularity Building Energy Consumption Prediction Method Based on Convolutional Recurrent Neural Network
    Wang, Hongbin
    Li, Hongyi
    Gao, Shitao
    Zhou, Lianke
    Lao, Zhenyu
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [24] A Prediction Method of New Power System Frequency Characteristics Based on Convolutional Neural Network
    Lu, Wen'An
    Zhu, Qingxiao
    Li, Zhaoxveii
    Liu, Hui
    Yu, Yiping
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2024, 58 (10): : 1500 - 1512
  • [25] Prediction of amorphous forming ability based on artificial neural network and convolutional neural network
    Lu, Fei
    Liang, Yongchao
    Wang, Xingying
    Gao, Tinghong
    Chen, Qian
    Liu, Yunchun
    Zhou, Yu
    Yuan, Yongkai
    Liu, Yutao
    COMPUTATIONAL MATERIALS SCIENCE, 2022, 210
  • [26] Somatic Super-Enhancer Epigenetic Signature for Overall Survival Prediction in Patients with Breast Invasive Carcinoma
    Yang, Xu
    Zheng, Wenzhong
    Li, Mengqiang
    Zhang, Shiqiang
    BIOINFORMATICS AND BIOLOGY INSIGHTS, 2023, 17
  • [27] A simple convolutional neural network for prediction of enhancer-promoter interactions with DNA sequence data
    Zhuang, Zhong
    Shen, Xiaotong
    Pan, Wei
    BIOINFORMATICS, 2019, 35 (17) : 2899 - 2906
  • [28] Tunnel Pedestrian Detection Based on Super Resolution and Convolutional Neural Network
    Zhao Min
    Mei Ying
    Sun Dihua
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 4635 - 4640
  • [29] Single Image Super-Resolution Based on Convolutional Neural Network
    Shi Ziteng
    Wang Zhiren
    Wang Rui
    Ren Fuquan
    LASER & OPTOELECTRONICS PROGRESS, 2018, 55 (12)
  • [30] Expression Recognition Method Based on Convolutional Neural Network and Capsule Neural Network
    Wang, Zhanfeng
    Yao, Lisha
    CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 79 (01): : 1659 - 1677
12345