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Gene Network Reconstruction using Global-Local Shrinkage Priors*
Reconstructing a gene network from high-throughput molecular data is an important but challenging task, as the number of parameters to estimate easily is much larger than the sample size. A conventional remedy is to regularize or penalize the model likelihood. In network models, this is often done l...
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| Publicado no: | Ann Appl Stat |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5388190/ https://ncbi.nlm.nih.gov/pubmed/28408966 |
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