Cargando…
Functional regression method for whole genome eQTL epistasis analysis with sequencing data
BACKGROUND: Epistasis plays an essential rule in understanding the regulation mechanisms and is an essential component of the genetic architecture of the gene expressions. However, interaction analysis of gene expressions remains fundamentally unexplored due to great computational challenges and dat...
Autores principales: | Xu, Kelin, Jin, Li, Xiong, Momiao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436462/ https://www.ncbi.nlm.nih.gov/pubmed/28521784 http://dx.doi.org/10.1186/s12864-017-3777-4 |
Ejemplares similares
-
eQTL Epistasis – Challenges and Computational Approaches
por: Huang, Yang, et al.
Publicado: (2013) -
Comparison of Strategies to Detect Epistasis from eQTL Data
por: Kapur, Karen, et al.
Publicado: (2011) -
Data-driven assessment of eQTL mapping methods
por: Michaelson, Jacob J, et al.
Publicado: (2010) -
SCeQTL: an R package for identifying eQTL from single-cell parallel sequencing data
por: Hu, Yue, et al.
Publicado: (2020) -
RNA-Seq optimization with eQTL gold standards
por: Ellis, Shannon E, et al.
Publicado: (2013)