Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Estimating proportions of explained variance: a comparison of whole genome subsets
por: Aslibekyan, Stella, et al.
Publicado: (2014) -
Incorporating Genetic Heterogeneity in Whole-Genome Regressions Using Interactions
por: de los Campos, Gustavo, et al.
Publicado: (2015) -
Modeling Heterogeneity in the Genetic Architecture of Ethnically Diverse Groups Using Random Effect Interaction Models
por: Veturi, Yogasudha, et al.
Publicado: (2019) -
Effectiveness of Shrinkage and Variable Selection Methods for the Prediction of Complex Human Traits using Data from Distantly Related Individuals
por: Berger, Swetlana, et al.
Publicado: (2015) -
Assessment of Whole-Genome Regression for Type II Diabetes
por: Vazquez, Ana I., et al.
Publicado: (2015)