Improving the generalization of unsupervised feature learning by using data from different sources on gene expression data for cancer diagnosis Article

Liu, Zhen, Wang, Ruoyu, Zhang, Wenbin. (2022). Improving the generalization of unsupervised feature learning by using data from different sources on gene expression data for cancer diagnosis . MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 60(4), 1055-1073. 10.1007/s11517-022-02522-2

Open Access International Collaboration

cited authors

  • Liu, Zhen; Wang, Ruoyu; Zhang, Wenbin

sustainable development goals

authors

publication date

  • April 1, 2022

published in

keywords

  • ALGORITHM
  • CLASSIFICATION
  • Cancer diagnosis
  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • Engineering
  • Engineering, Biomedical
  • FEATURE-SELECTION
  • Gene expression data
  • Generalization
  • Life Sciences & Biomedicine
  • Mathematical & Computational Biology
  • Medical Informatics
  • Science & Technology
  • Sparse autoencoder
  • Technology
  • Unlabeled data
  • Unsupervised feature learning

Digital Object Identifier (DOI)

publisher

  • SPRINGER HEIDELBERG

start page

  • 1055

end page

  • 1073

volume

  • 60

issue

  • 4