An integer optimization algorithm for robust identification of non-linear gene regulatory networks

BACKGROUND: Reverse engineering gene networks and identifying regulatory interactions are integral to understanding cellular decision making processes. Advancement in high throughput experimental techniques has initiated innovative data driven analysis of gene regulatory networks. However, inherent...

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Detalles Bibliográficos
Autores principales: Chemmangattuvalappil, Nishanth, Task, Keith, Banerjee, Ipsita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444924/
https://www.ncbi.nlm.nih.gov/pubmed/22937832
http://dx.doi.org/10.1186/1752-0509-6-119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3444924/
https://www.ncbi.nlm.nih.gov/pubmed/22937832
http://dx.doi.org/10.1186/1752-0509-6-119

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