Architectures and accuracy of artificial neural network for disease classification from omics data

被引:0
|
作者
Hui Yu
David C. Samuels
Ying-yong Zhao
Yan Guo
机构
[1] University of New Mexico,Department of Internal Medicine
[2] Vanderbilt University Medical School,Vanderbilt Genetics Institute, Department of Molecular Physiology and Biophysics
[3] Northwest University,Key Laboratory of Resource Biology and Biotechnology in Western China, School of Life Sciences
来源
BMC Genomics | / 20卷
关键词
Supervised classification; Cancer diagnosis; Artificial neural network; Deep learning; Omics;
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] Architectures and accuracy of artificial neural network for disease classification from omics data
    Yu, Hui
    Samuels, David C.
    Zhao, Ying-yong
    Guo, Yan
    [J]. BMC GENOMICS, 2019, 20 (1) : 1 - 12
  • [2] Omics data classification using constitutive artificial neural network optimized with single candidate optimizer
    Madhan, Subramaniam
    Kalaiselvan, Anbarasan
    [J]. NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2024,
  • [3] ATM data classification with an artificial neural network
    Sundstrom, K
    Rueda, A
    McLeod, RD
    [J]. IEEE WESCANEX 97 COMMUNICATIONS, POWER AND COMPUTING CONFERENCE PROCEEDINGS, 1997, : 276 - 279
  • [4] Optimizing artificial neural network architectures for enhanced soil type classification
    Aydin, Yaren
    Bekdas, Gebrail
    Isikdag, Uemit
    Nigdeli, Sinan Melih
    Geem, Zong Woo
    [J]. GEOMECHANICS AND ENGINEERING, 2024, 37 (03) : 263 - 277
  • [5] PANNA: Properties from Artificial Neural Network Architectures
    Lot, Ruggero
    Pellegrini, Franco
    Shaidu, Yusuf
    Kucukbenli, Emine
    [J]. COMPUTER PHYSICS COMMUNICATIONS, 2020, 256
  • [6] Hybrid Artificial Neural Network for Data Classification Problem
    Kaur, Jaspreet
    Kalra, Ashima
    [J]. PROCEEDINGS OF 4TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTING AND CONTROL (ISPCC 2K17), 2017, : 66 - 71
  • [7] Classification of Robotic Data using Artificial Neural Network
    Gopalapillai, Radhakrishnan
    Vidhya, J.
    Gupta, Deepa
    Sudarshan, T. S. B.
    [J]. 2013 IEEE RECENT ADVANCES IN INTELLIGENT COMPUTATIONAL SYSTEMS (RAICS), 2013, : 333 - 337
  • [8] Evolvable binary artificial neural network for data classification
    Starzyk, J
    Pang, J
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS, VOLS I-V, 2000, : 1353 - 1359
  • [9] Neural Network Architectures for Artificial Noses
    Wilamowski, Bogdan M.
    Vodyanoy, Vitaly J.
    [J]. 2008 CONFERENCE ON HUMAN SYSTEM INTERACTIONS, VOLS 1 AND 2, 2008, : 737 - +
  • [10] LEAF DISEASE CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK
    Ishak, Syafiqah
    Rahiman, Mohd Hafiz Fazalul
    Kanafiah, Siti Nurul Aqmariah Mohd
    Saad, Hashim
    [J]. JURNAL TEKNOLOGI, 2015, 77 (17): : 109 - 114