Corpus ID: 56517070

A Method to Facilitate Cancer Detection and Type Classification from Gene Expression Data using a Deep Autoencoder and Neural Network

  title={A Method to Facilitate Cancer Detection and Type Classification from Gene Expression Data using a Deep Autoencoder and Neural Network},
  author={Xi Chen and J. Xie and Qingcong Yuan},
With the increased affordability and availability of whole-genome sequencing, large-scale and high-throughput gene expression is widely used to characterize diseases, including cancers. However, establishing specificity in cancer diagnosis using gene expression data continues to pose challenges due to the high dimensionality and complexity of the data. Here we present models of deep learning (DL) and apply them to gene expression data for the diagnosis and categorization of cancer. In this… Expand


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  • Proceedings of the National Academy of Sciences of the United States of America
  • 2001
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  • Biology, Medicine
  • Proceedings of the National Academy of Sciences of the United States of America
  • 1999
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