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Gene Regulatory Networks Reconstruction Using the Flooding-Pruning Hill-Climbing Algorithm
The explosion of genomic data provides new opportunities to improve the task of gene regulatory network reconstruction. Because of its inherent probability character, the Bayesian network is one of the most promising methods. However, excessive computation time and the requirements of a large number...
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| Опубликовано в: : | Genes (Basel) |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6071145/ https://ncbi.nlm.nih.gov/pubmed/29986472 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/genes9070342 |
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