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Robust Network-Based Regularization and Variable Selection for High-Dimensional Genomic Data in Cancer Prognosis
In cancer genomic studies, an important objective is to identify prognostic markers associated with patients’ survival. Network-based regularization has achieved success in variable selections for high-dimensional cancer genomic data, due to its ability to incorporate the correlations among genomic...
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| Publicado no: | Genet Epidemiol |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6446588/ https://ncbi.nlm.nih.gov/pubmed/30746793 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.22194 |
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