Cargando…
A network-driven approach for genome-wide association mapping
Motivation: It remains a challenge to detect associations between genotypes and phenotypes because of insufficient sample sizes and complex underlying mechanisms involved in associations. Fortunately, it is becoming more feasible to obtain gene expression data in addition to genotypes and phenotypes...
Autores principales: | Lee, Seunghak, Kong, Soonho, Xing, Eric P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908354/ https://www.ncbi.nlm.nih.gov/pubmed/27307613 http://dx.doi.org/10.1093/bioinformatics/btw270 |
Ejemplares similares
-
Data-driven mechanistic analysis method to reveal dynamically evolving regulatory networks
por: Intosalmi, Jukka, et al.
Publicado: (2016) -
A novel method for discovering local spatial clusters of genomic regions with functional relationships from DNA contact maps
por: Hu, Xihao, et al.
Publicado: (2016) -
RapMap: a rapid, sensitive and accurate tool for mapping RNA-seq reads to transcriptomes
por: Srivastava, Avi, et al.
Publicado: (2016) -
SHARAKU: an algorithm for aligning and clustering read mapping profiles of deep sequencing in non-coding RNA processing
por: Tsuchiya, Mariko, et al.
Publicado: (2016) -
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks
por: Glicksberg, Benjamin S., et al.
Publicado: (2016)