PFBNet: a priori-fused boosting method for gene regulatory network inference
Abstract Background Inferring gene regulatory networks (GRNs) from gene expression data remains a challenge in system biology. In past decade, numerous methods have been developed for the inference of GRNs. It remains a challenge due to the fact that the data is noisy and high dimensional, and there...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BMC
2020-07-01
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| Серии: | BMC Bioinformatics |
| Предметы: | |
| Online-ссылка: | http://link.springer.com/article/10.1186/s12859-020-03639-7 |
| Метки: |
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