Increased Proportion of Variance Explained and Prediction Accuracy of Survival of Breast Cancer Patients with Use of Whole-Genome Multiomic Profiles

Whole-genome multiomic profiles hold valuable information for the analysis and prediction of disease risk and progression. However, integrating high-dimensional multilayer omic data into risk-assessment models is statistically and computationally challenging. We describe a statistical framework, the...

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Detalles Bibliográficos
Autores principales: Vazquez, Ana I., Veturi, Yogasudha, Behring, Michael, Shrestha, Sadeep, Kirst, Matias, Resende, Marcio F. R., de los Campos, Gustavo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2016
Materias:
Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937492/
https://www.ncbi.nlm.nih.gov/pubmed/27129736
http://dx.doi.org/10.1534/genetics.115.185181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937492/
https://www.ncbi.nlm.nih.gov/pubmed/27129736
http://dx.doi.org/10.1534/genetics.115.185181

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