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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2012
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| 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 |