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D3GRN: a data driven dynamic network construction method to infer gene regulatory networks
BACKGROUND: To infer gene regulatory networks (GRNs) from gene-expression data is still a fundamental and challenging problem in systems biology. Several existing algorithms formulate GRNs inference as a regression problem and obtain the network with an ensemble strategy. Recent studies on data driv...
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| Опубликовано в: : | BMC Genomics |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6933629/ https://ncbi.nlm.nih.gov/pubmed/31881937 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-019-6298-5 |
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