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

Ameen Eetemadi | Zendy; Ilias Tagkopoulos | Zendy

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

Author(s) -

Ameen Eetemadi,

Ilias Tagkopoulos

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty945

Subject(s) - artificial neural network , computer science , gene regulatory network , artificial intelligence , machine learning , computational biology , architecture , gene , data mining , gene expression , biology , genetics , art , visual arts

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.

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