Inference of Gene Regulatory Networks Incorporating Multi-Source Biological Knowledge via a State Space Model with L1 Regularization

Comprehensive understanding of gene regulatory networks (GRNs) is a major challenge in the field of systems biology. Currently, there are two main approaches in GRN analysis using time-course observation data, namely an ordinary differential equation (ODE)-based approach and a statistical model-base...

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Detalles Bibliográficos
Autores principales: Hasegawa, Takanori, Yamaguchi, Rui, Nagasaki, Masao, Miyano, Satoru, Imoto, Seiya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4146587/
https://www.ncbi.nlm.nih.gov/pubmed/25162401
http://dx.doi.org/10.1371/journal.pone.0105942

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4146587/
https://www.ncbi.nlm.nih.gov/pubmed/25162401
http://dx.doi.org/10.1371/journal.pone.0105942

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