Computational identification of ubiquitination sites in Arabidopsis thaliana using convolutional neural networks

被引:0
|
作者
Xiaofeng Wang
Renxiang Yan
Yong-Zi Chen
Yongji Wang
机构
[1] Shanxi Normal University,College of Mathematics and Computer Sciences
[2] Fuzhou University,School of Biological Sciences and Engineering, Fujian Key Laboratory of Marine Enzyme Engineering
[3] National Clinical Research Center for Cancer,Laboratory of Tumor Cell Biology, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer
[4] Tianjin Medical University Cancer Institute and Hospital,College of Life Sciences
[5] Tianjin Medical University,undefined
[6] Shanxi Normal University,undefined
来源
Plant Molecular Biology | 2021年 / 105卷
关键词
Ubiquitination site; Prediction; Convolutional neural network;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:601 / 610
页数:9
相关论文
共 50 条
  • [31] MATERIAL IDENTIFICATION USING RF SENSORS AND CONVOLUTIONAL NEURAL NETWORKS
    Agresti, Gianluca
    Milani, Simone
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 3662 - 3666
  • [32] Intracerebral EEG Artifact Identification Using Convolutional Neural Networks
    Petr Nejedly
    Jan Cimbalnik
    Petr Klimes
    Filip Plesinger
    Josef Halamek
    Vaclav Kremen
    Ivo Viscor
    Benjamin H. Brinkmann
    Martin Pail
    Milan Brazdil
    Gregory Worrell
    Pavel Jurak
    [J]. Neuroinformatics, 2019, 17 : 225 - 234
  • [33] Intracerebral EEG Artifact Identification Using Convolutional Neural Networks
    Nejedly, Petr
    Cimbalnik, Jan
    Klimes, Petr
    Plesinger, Filip
    Halamek, Josef
    Kremen, Vaclav
    Viscor, Ivo
    Brinkmann, Benjamin H.
    Pail, Martin
    Brazdil, Milan
    Worrell, Gregory
    Jurak, Pavel
    [J]. NEUROINFORMATICS, 2019, 17 (02) : 225 - 234
  • [34] Identification of Lantana Camara Distribution Using Convolutional Neural Networks
    Samarajeewa, Tharushi
    Suduwella, Chathura
    Jayasuriya, Namal
    Kumarasinghe, Prabhash
    Gunawardana, Kasun
    De Zoysa, Kasun
    Keppitiyagama, Chamath
    [J]. 2018 18TH INTERNATIONAL CONFERENCE ON ADVANCES IN ICT FOR EMERGING REGIONS (ICTER) CONFERENCE PROCEEDINGS, 2018, : 221 - 228
  • [35] Person Identification by Footstep Sound Using Convolutional Neural Networks
    Algermissen, Stephan
    Hoernlein, Max
    [J]. APPLIED MECHANICS, 2021, 2 (02): : 257 - 273
  • [36] Ant genera identification using an ensemble of convolutional neural networks
    Marques, Alan Caio R.
    Raimundo, Marcos M.
    Cavalheiro, Ellen Marianne B.
    Salles, Luis F. P.
    Lyra, Christiano
    Von Zuben, Fernando J.
    [J]. PLOS ONE, 2018, 13 (01):
  • [37] Singer identification for Indian singers using convolutional neural networks
    Srinivasa Murthy, Y. V.
    Koolagudi, Shashidhar G.
    Jeshventh Raja, T. K.
    [J]. INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY, 2021, 24 (03) : 781 - 796
  • [38] Identification of Plant Nutrient Deficiencies Using Convolutional Neural Networks
    Watchareeruetai, Ukrit
    Noinongyao, Pavit
    Wattanapaiboonsuk, Chaiwat
    Khantiviriya, Puriwat
    Duangsrisai, Sutsawat
    [J]. 2018 6TH INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON), 2018,
  • [39] Language Identification Using Deep Convolutional Recurrent Neural Networks
    Bartz, Christian
    Herold, Tom
    Yang, Haojin
    Meinel, Christoph
    [J]. NEURAL INFORMATION PROCESSING (ICONIP 2017), PT VI, 2017, 10639 : 880 - 889
  • [40] Identification of rice diseases using deep convolutional neural networks
    Lu, Yang
    Yi, Shujuan
    Zeng, Nianyin
    Liu, Yurong
    Zhang, Yong
    [J]. NEUROCOMPUTING, 2017, 267 : 378 - 384