Assessment of deep learning and transfer learning for cancer prediction based on gene expression data

被引：0
|
作者：
Blaise Hanczar
Victoria Bourgeais
Farida Zehraoui
机构：
[1] Université Paris-Saclay (Univ. Evry),IBISC
来源：
BMC Bioinformatics | / 23卷
关键词：
Deep neural network; Transfer learning; Phenotype prediction; Gene expression;
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] Assessment of deep learning and transfer learning for cancer prediction based on gene expression data
    Hanczar, Blaise
    Bourgeais, Victoria
    Zehraoui, Farida
    BMC BIOINFORMATICS, 2022, 23 (01)
  • [2] Transfer learning for gene expression prediction with deep neural networks
    Arslan, Emre
    Rai, Kunal
    CANCER RESEARCH, 2020, 80 (16)
  • [3] Cancer Classification Based on Microarray Gene Expression Data Using Deep Learning
    Guillen, Pablo
    Ebalunode, Jerry
    2016 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE & COMPUTATIONAL INTELLIGENCE (CSCI), 2016, : 1403 - 1405
  • [4] Cancer Drug Sensitivity Prediction Based on Deep Transfer Learning
    Meng, Weijun
    Xu, Xinyu
    Xiao, Zhichao
    Gao, Lin
    Yu, Liang
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2025, 26 (06)
  • [5] Lung cancer classification based on enhanced deep learning using gene expression data
    Yuvaraj V.
    Maheswari D.
    Measurement: Sensors, 2023, 30
  • [6] Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning
    Md Mamunur Rahaman
    Ewan K. A. Millar
    Erik Meijering
    Scientific Reports, 13
  • [7] Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning
    Rahaman, Md Mamunur
    Millar, Ewan K. A.
    Meijering, Erik
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [8] Prediction of cancer dependencies from expression data using deep learning
    Itzhacky, Nitay
    Sharan, Roded
    MOLECULAR OMICS, 2021, 17 (01) : 66 - 71
  • [9] Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data
    Lopez-Garcia, Guillermo
    Jerez, Jose M.
    Franco, Leonardo
    Veredas, Francisco J.
    PLOS ONE, 2020, 15 (03):
  • [10] A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data
    Tabares-Soto, Reinel
    Orozco-Arias, Simon
    Romero-Cano, Victor
    Segovia Bucheli, Vanesa
    Luis Rodriguez-Sotelo, Jose
    Felipe Jimenez-Varon, Cristian
    PEERJ COMPUTER SCIENCE, 2020, PeerJ Inc. (2020)
12345