Cargando…
Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes
We demonstrate that loss-of-function yeast phenotypes are predictable by guilt-by-association in functional gene networks. Testing 1,102 loss-of-function phenotypes from genome-wide assays of yeast reveals predictability of diverse phenotypes, spanning cellular morphology, growth, metabolism, and qu...
Autores principales: | McGary, Kriston L, Lee, Insuk, Marcotte, Edward M |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246260/ https://www.ncbi.nlm.nih.gov/pubmed/18053250 http://dx.doi.org/10.1186/gb-2007-8-12-r258 |
Ejemplares similares
-
An Improved, Bias-Reduced Probabilistic Functional Gene Network of Baker's Yeast, Saccharomyces cerevisiae
por: Lee, Insuk, et al.
Publicado: (2007) -
Prediction of gene–phenotype associations in humans, mice, and plants using phenologs
por: Woods, John O, et al.
Publicado: (2013) -
Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function
por: Tian, Weidong, et al.
Publicado: (2008) -
RIDDLE: reflective diffusion and local extension reveal functional associations for unannotated gene sets via proximity in a gene network
por: Wang, Peggy I, et al.
Publicado: (2012) -
Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas
por: King, Nichole L, et al.
Publicado: (2006)