Identifying time-delayed gene regulatory networks via an evolvable hierarchical recurrent neural network

BACKGROUND: The modeling of genetic interactions within a cell is crucial for a basic understanding of physiology and for applied areas such as drug design. Interactions in gene regulatory networks (GRNs) include effects of transcription factors, repressors, small metabolites, and microRNA species....

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Detalles Bibliográficos
Autores principales: Kordmahalleh, Mina Moradi, Sefidmazgi, Mohammad Gorji, Harrison, Scott H., Homaifar, Abdollah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543747/
https://www.ncbi.nlm.nih.gov/pubmed/28785315
http://dx.doi.org/10.1186/s13040-017-0146-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543747/
https://www.ncbi.nlm.nih.gov/pubmed/28785315
http://dx.doi.org/10.1186/s13040-017-0146-4

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