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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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BMC
2020-07-01
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| Collection: | BMC Bioinformatics |
| Sujets: | |
| Accès en ligne: | http://link.springer.com/article/10.1186/s12859-020-03639-7 |
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