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

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

Abstract 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 s...

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Bibliographic Details
Main Authors: Mina Moradi Kordmahalleh, Mohammad Gorji Sefidmazgi, Scott H. Harrison, Abdollah Homaifar
Format: Article
Language:English
Published: BMC 2017-08-01
Series:BioData Mining
Subjects:
Gene regulatory network
Hierarchical recurrent neural network
Genetic algorithm
Time delay
Online Access:http://link.springer.com/article/10.1186/s13040-017-0146-4

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http://link.springer.com/article/10.1186/s13040-017-0146-4

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