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Gene regulatory networks inference using a multi-GPU exhaustive search algorithm
BACKGROUND: Gene regulatory networks (GRN) inference is an important bioinformatics problem in which the gene interactions need to be deduced from gene expression data, such as microarray data. Feature selection methods can be applied to this problem. A feature selection technique is composed by two...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817808/ https://www.ncbi.nlm.nih.gov/pubmed/24564268 http://dx.doi.org/10.1186/1471-2105-14-S18-S5 |