Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model

被引:0
|
作者
Lujia Chen
Chunhui Cai
Vicky Chen
Xinghua Lu
机构
[1] University of Pittsburgh,Department of Biomedical Informatics
来源
关键词
Yeast; Transcription; Gene expression; Transcriptomic machinery; Signal transduction; Deep learning; Deep hierarchical neural network; Unsupervised learning; Data mining;
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
  • [41] A lightweight hierarchical graph convolutional model for knowledge graph representation learning
    Zhang, Jinglin
    Shen, Bo
    APPLIED INTELLIGENCE, 2024, 54 (21) : 10695 - 10708
  • [42] Model-Aware Representation Learning for Categorical Data with Hierarchical Couplings
    Song, Jianglong
    Zhu, Chengzhang
    Zhao, Wentao
    Liu, Wenjie
    Liu, Qiang
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, PT II, 2017, 10614 : 242 - 249
  • [43] DDOS Multivariate Information Fusion Model Based on Hierarchical Representation Learning
    Tang, Xiangyan
    Zhang, Yiyang
    Cheng, Jieren
    Xu, Jinying
    Li, Hui
    CYBERSPACE SAFETY AND SECURITY, PT II, 2019, 11983 : 57 - 66
  • [44] An autoencoder with adaptive transfer learning for intelligent fault diagnosis of rotating machinery
    Tang, Zhi
    Bo, Lin
    Liu, Xiaofeng
    Wei, Daiping
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 32 (05)
  • [45] Unsupervised Anomaly Detection in Rotating Machinery Using Variational Autoencoder
    Nomura Y.
    Yako H.
    Hattori H.
    Nakayama M.
    Zairyo/Journal of the Society of Materials Science, Japan, 2022, 71 (03): : 296 - 302
  • [46] HSNR: A Network Representation Learning Algorithm Using Hierarchical Structure Embedding
    YE Zhonglin
    ZHAO Haixing
    ZHU Yu
    XIAO Yuzhi
    Chinese Journal of Electronics, 2020, 29 (06) : 1141 - 1152
  • [47] HiFI: A Hierarchical Framework for Incremental Learning using Deep Feature Representation
    Raj, Ankita
    Majumder, Anima
    Kumar, Swagat
    2019 28TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN), 2019,
  • [48] Hierarchical Representation Learning for Bipartite Graphs
    Li, Chong
    Jia, Kunyang
    Shen, Dan
    Shi, C. J. Richard
    Yang, Hongxia
    PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2019, : 2873 - 2879
  • [49] Hierarchical Rules for Knowledge Representation and Learning
    Sakharov, Alexander
    2019 IEEE SECOND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING (AIKE), 2019, : 167 - 171
  • [50] Hierarchical Representation Learning for Attributed Networks
    Zhao, Shu
    Du, Ziwei
    Chen, Jie
    Zhang, Yanping
    Tang, Jie
    Yu, Philip S. S.
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (03) : 2641 - 2656