Cargando…
Tilting the lasso by knowledge-based post-processing
BACKGROUND: It is useful to incorporate biological knowledge on the role of genetic determinants in predicting an outcome. It is, however, not always feasible to fully elicit this information when the number of determinants is large. We present an approach to overcome this difficulty. First, using h...
Autores principales: | Tharmaratnam, Kukatharmini, Sperrin, Matthew, Jaki, Thomas, Reppe, Sjur, Frigessi, Arnoldo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5010709/ https://www.ncbi.nlm.nih.gov/pubmed/27590269 http://dx.doi.org/10.1186/s12859-016-1210-7 |
Ejemplares similares
-
Post-processing sets of tilted CT volumes as a method for metal artifact reduction
por: Ballhausen, Hendrik, et al.
Publicado: (2014) -
Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSO
por: Zuo, Yiming, et al.
Publicado: (2017) -
Resampling-based tests for Lasso in genome-wide association studies
por: Arbet, Jaron, et al.
Publicado: (2017) -
Mapping Haplotype-haplotype Interactions with Adaptive LASSO
por: Li, Ming, et al.
Publicado: (2010) -
Time-lagged Ordered Lasso for network inference
por: Nguyen, Phan, et al.
Publicado: (2018)