Cargando…
The systematic comparison between Gaussian mirror and Model-X knockoff models
While the high-dimensional biological data have provided unprecedented data resources for the identification of biomarkers, consensus is still lacking on how to best analyze them. The recently developed Gaussian mirror (GM) and Model-X (MX) knockoff-based methods have much related model assumptions,...
Autores principales: | Chen, Shuai, Li, Ziqi, Liu, Long, Wen, Yalu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073103/ https://www.ncbi.nlm.nih.gov/pubmed/37015993 http://dx.doi.org/10.1038/s41598-023-32605-5 |
Ejemplares similares
-
Bayesian variable selection using Knockoffs with applications to genomics
por: Yap, Jurel K., et al.
Publicado: (2022) -
An embedded gene selection method using knockoffs optimizing neural network
por: Guo, Juncheng, et al.
Publicado: (2020) -
False Discovery Rate Control in Cancer Biomarker Selection Using Knockoffs
por: Shen, Arlina, et al.
Publicado: (2019) -
Identification of putative causal loci in whole-genome sequencing data via knockoff statistics
por: He, Zihuai, et al.
Publicado: (2021) -
Powerful gene-based testing by integrating long-range chromatin interactions and knockoff genotypes
por: Ma, Shiyang, et al.
Publicado: (2021)