Cargando…
Ensemble learning for detecting gene-gene interactions in colorectal cancer
Colorectal cancer (CRC) has a high incident rate in both men and women and is affecting millions of people every year. Genome-wide association studies (GWAS) on CRC have successfully revealed common single-nucleotide polymorphisms (SNPs) associated with CRC risk. However, they can only explain a ver...
Autores principales: | Dorani, Faramarz, Hu, Ting, Woods, Michael O., Zhai, Guangju |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211269/ https://www.ncbi.nlm.nih.gov/pubmed/30397551 http://dx.doi.org/10.7717/peerj.5854 |
Ejemplares similares
-
ensembleTax: an R package for determinations of ensemble taxonomic assignments of phylogenetically-informative marker gene sequences
por: Catlett, Dylan, et al.
Publicado: (2021) -
ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19
por: Chowdhury, Nihad Karim, et al.
Publicado: (2021) -
APC gene 3′UTR SNPs and interactions with environmental factors are correlated with risk of colorectal cancer in Chinese Han population
por: Ying, Rongbiao, et al.
Publicado: (2020) -
The use of gene interaction networks to improve the identification of cancer driver genes
por: Ramsahai, Emilie, et al.
Publicado: (2017) -
Risk analysis of colorectal cancer incidence by gene expression analysis
por: Shangkuan, Wei-Chuan, et al.
Publicado: (2017)