Genetic Neural Networks: an artificial neural network architecture for capturing gene expression relationships.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: Gene expression prediction is one of the grand challenges in computational biology. The availability of transcriptomics data combined with recent advances in artificial neural networks provide an unprecedented opportunity to create predictive models of gene expression with far reaching applications.

Authors

  • Ameen Eetemadi
    Department of Computer Science, University of California, Davis, CA, USA.
  • Ilias Tagkopoulos
    Department of Computer Science, University of California at Davis, Davis, CA, United States.