Cargando…
An embedded gene selection method using knockoffs optimizing neural network
BACKGROUND: Gene selection refers to find a small subset of discriminant genes from the gene expression profiles. How to select genes that affect specific phenotypic traits effectively is an important research work in the field of biology. The neural network has better fitting ability when dealing w...
Autores principales: | Guo, Juncheng, Jin, Min, Chen, Yuanyuan, Liu, Jianxiao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510330/ https://www.ncbi.nlm.nih.gov/pubmed/32962627 http://dx.doi.org/10.1186/s12859-020-03717-w |
Ejemplares similares
-
Bayesian variable selection using Knockoffs with applications to genomics
por: Yap, Jurel K., et al.
Publicado: (2022) -
Grace-AKO: a novel and stable knockoff filter for variable selection incorporating gene network structures
por: Tian, Peixin, et al.
Publicado: (2022) -
False Discovery Rate Control in Cancer Biomarker Selection Using Knockoffs
por: Shen, Arlina, et al.
Publicado: (2019) -
Deep neural networks with knockoff features identify nonlinear causal relations and estimate effect sizes in complex biological systems
por: Fan, Zhenjiang, et al.
Publicado: (2023) -
Powerful gene-based testing by integrating long-range chromatin interactions and knockoff genotypes
por: Ma, Shiyang, et al.
Publicado: (2021)