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Using a State-Space Model and Location Analysis to Infer Time-Delayed Regulatory Networks
Computational gene regulation models provide a means for scientists to draw biological inferences from time-course gene expression data. Based on the state-space approach, we developed a new modeling tool for inferring gene regulatory networks, called time-delayed Gene Regulatory Networks (tdGRNs)....
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171427/ https://www.ncbi.nlm.nih.gov/pubmed/19841683 http://dx.doi.org/10.1155/2009/484601 |