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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Detalles Bibliográficos
Autores principales: Wu, Meng-Yun, Zhang, Xiao-Fei, Dai, Dao-Qing, Ou-Yang, Le, Zhu, Yuan, Yan, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769543/
https://www.ncbi.nlm.nih.gov/pubmed/26921029
http://dx.doi.org/10.1186/s12859-016-0951-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4769543/
https://www.ncbi.nlm.nih.gov/pubmed/26921029
http://dx.doi.org/10.1186/s12859-016-0951-7

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