Decomposition Approach for Learning Large Gene Regulatory Network
نویسندگان
چکیده
منابع مشابه
Inferring Gene Regulatory Networks by Incremental Evolution and Network Decomposition
Constructing genetic regulatory networks from expression data is one of the most important issues in systems biology research. However, building regulatory models manually is a tedious task, especially when the number of genes involved increases with the complexity of regulation. To automate the procedure of network construction, we develop a methodology to infer S-systems as regulatory systems...
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Gene regulatory networks (GRNs) are essential for cellular metabolism during the development of living organisms. Reconstructing gene networks from expression profiling data can help biologists generate and test hypotheses to investigate the complex phenomena of nature systems. However, building regulatory models is a tedious task, especially when the number of genes and the complexity of regul...
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Deep understanding of molecular biology has allowed emergence of new technologies like DNA decryption. On the other hand, advancements of molecular biology have made manipulation of genetic systems simpler than ever; this promises extraordinary progress in biological, medical and biotechnological applications. This is not an unrealistic goal since genes which are regulated by gene regulatory ...
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ژورنال
عنوان ژورنال: Journal of Health & Medical Informatics
سال: 2018
ISSN: 2157-7420
DOI: 10.4172/2157-7420.1000315