Cargando…
Massive-Scale Gene Co-Expression Network Construction and Robustness Testing Using Random Matrix Theory
The study of gene relationships and their effect on biological function and phenotype is a focal point in systems biology. Gene co-expression networks built using microarray expression profiles are one technique for discovering and interpreting gene relationships. A knowledge-independent thresholdin...
Autores principales: | Gibson, Scott M., Ficklin, Stephen P., Isaacson, Sven, Luo, Feng, Feltus, Frank A., Smith, Melissa C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567026/ https://www.ncbi.nlm.nih.gov/pubmed/23409071 http://dx.doi.org/10.1371/journal.pone.0055871 |
Ejemplares similares
-
Maximizing capture of gene co-expression relationships through pre-clustering of input expression samples: an Arabidopsis case study
por: Feltus, F Alex, et al.
Publicado: (2013) -
A Systems-Genetics Approach and Data Mining Tool to Assist in the Discovery of Genes Underlying Complex Traits in Oryza sativa
por: Ficklin, Stephen P., et al.
Publicado: (2013) -
GEMmaker: process massive RNA-seq datasets on heterogeneous computational infrastructure
por: Hadish, John A., et al.
Publicado: (2022) -
Addressing noise in co-expression network construction
por: Burns, Joshua J R, et al.
Publicado: (2021) -
Large-Scale Gene Relocations following an Ancient Genome Triplication Associated with the Diversification of Core Eudicots
por: Wang, Yupeng, et al.
Publicado: (2016)