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PFBNet: a priori-fused boosting method for gene regulatory network inference
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 exists...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7362553/ https://ncbi.nlm.nih.gov/pubmed/32664870 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-03639-7 |
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