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Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer
BACKGROUD: To facilitate advances in personalized medicine, it is important to detect predictive, stable and interpretable biomarkers related with different clinical characteristics. These clinical characteristics may be heterogeneous with respect to underlying interactions between genes. Usually, t...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4769543/ https://ncbi.nlm.nih.gov/pubmed/26921029 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-0951-7 |
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