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Experimental assessment of static and dynamic algorithms for gene regulation inference from time series expression data
Accurate inference of causal gene regulatory networks from gene expression data is an open bioinformatics challenge. Gene interactions are dynamical processes and consequently we can expect that the effect of any regulation action occurs after a certain temporal lag. However such lag is unknown a pr...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3872039/ https://www.ncbi.nlm.nih.gov/pubmed/24400020 http://dx.doi.org/10.3389/fgene.2013.00303 |