Cargando…
Gene–gene interaction analysis for the survival phenotype based on the Cox model
Motivation: For the past few decades, many statistical methods in genome-wide association studies (GWAS) have been developed to identify SNP–SNP interactions for case-control studies. However, there has been less work for prospective cohort studies, involving the survival time. Recently, Gui et al....
Autores principales: | Lee, Seungyeoun, Kwon, Min-Seok, Oh, Jung Mi, Park, Taesung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436842/ https://www.ncbi.nlm.nih.gov/pubmed/22962485 http://dx.doi.org/10.1093/bioinformatics/bts415 |
Ejemplares similares
-
Unified Cox model based multifactor dimensionality reduction method for gene-gene interaction analysis of the survival phenotype
por: Lee, Seungyeoun, et al.
Publicado: (2018) -
A Comparative Study on Multifactor Dimensionality Reduction Methods for Detecting Gene-Gene Interactions with the Survival Phenotype
por: Lee, Seungyeoun, et al.
Publicado: (2015) -
Gene-Gene Interaction Analysis for the Survival Phenotype Based on the Kaplan-Meier Median Estimate
por: Park, Mira, et al.
Publicado: (2020) -
Comparison of survival prediction models for pancreatic cancer: Cox model versus machine learning models
por: Kim, Hyunsuk, et al.
Publicado: (2022) -
Identification of multiple gene-gene interactions for ordinal phenotypes
por: Kim, Kyunga, et al.
Publicado: (2013)