A supervised protein complex prediction method with network representation learning and gene ontology knowledge

被引：0
|
作者：
Xiaoxu Wang
Yijia Zhang
Peixuan Zhou
Xiaoxia Liu
机构：
[1] Dalian Maritime University,School of Information Science and Technology
[2] Stanford University,Department of Neurology and Neurological Sciences
来源：
BMC Bioinformatics | / 23卷
关键词：
Protein complex prediction; Supervised learning; Network representation learning; Protein–protein interaction networks;
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
  • [1] A supervised protein complex prediction method with network representation learning and gene ontology knowledge
    Wang, Xiaoxu
    Zhang, Yijia
    Zhou, Peixuan
    Liu, Xiaoxia
    BMC BIOINFORMATICS, 2022, 23 (01)
  • [2] Predicting protein complex in protein interaction network - a supervised learning based method
    Yu, Feng Ying
    Yang, Zhi Hao
    Tang, Nan
    Lin, Hong Fei
    Wang, Jian
    Yang, Zhi Wei
    BMC SYSTEMS BIOLOGY, 2014, 8
  • [3] An experimental analysis of graph representation learning for Gene Ontology based protein function prediction
    Vu, Thi Thuy Duong
    Kim, Jeongho
    Jung, Jaehee
    PEERJ, 2024, 12
  • [4] Protein Function Prediction With Functional and Topological Knowledge of Gene Ontology
    Zhao, Yingwen
    Yang, Zhihao
    Hong, Yongkai
    Yang, Yumeng
    Wang, Lei
    Zhang, Yin
    Lin, Hongfei
    Wang, Jian
    IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2023, 22 (04) : 755 - 762
  • [5] Knowledge representation and annotation method based on ontology for complex products' design
    Fang W.
    Guo Y.
    Liao W.
    Wang F.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2016, 22 (09): : 2063 - 2071
  • [6] Applicability of semi-supervised learning assumptions for gene ontology terms prediction
    Alberto Jaramillo-Garzon, Jorge
    German Castellanos-Dominguez, Cesar
    Perera-Lluna, Alexandre
    REVISTA FACULTAD DE INGENIERIA-UNIVERSIDAD DE ANTIOQUIA, 2016, (79): : 19 - 32
  • [7] Network-to-Network: Self-Supervised Network Representation Learning via Position Prediction
    Liu, Jie
    Zhang, Chunhai
    He, Zhicheng
    Zhang, Wenzheng
    Li, Na
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2025, 37 (03) : 1354 - 1365
  • [8] Disease-specific protein complex detection in the human protein interaction network with a supervised learning method
    Zhou, Ziwei
    Gui, Yingyi
    Yang, Zhihao
    Liu, Xiaoxia
    Wang, Lei
    Zhang, Yin
    Lin, Hongfei
    Wang, Jian
    2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2016, : 1296 - 1301
  • [9] SSLpheno: a self-supervised learning approach for gene-phenotype association prediction using protein-protein interactions and gene ontology data
    Bi, Xuehua
    Liang, Weiyang
    Zhao, Qichang
    Wang, Jianxin
    BIOINFORMATICS, 2023, 39 (11)
  • [10] TransO: a knowledge-driven representation learning method with ontology information constraints
    Zhao Li
    Xin Liu
    Xin Wang
    Pengkai Liu
    Yuxin Shen
    World Wide Web, 2023, 26 : 297 - 319
12345