Cargando…
pathVar: a new method for pathway-based interpretation of gene expression variability
Identifying the pathways that control a cellular phenotype is the first step to building a mechanistic model. Recent examples in developmental biology, cancer genomics, and neurological disease have demonstrated how changes in the variability of gene expression can highlight important genes that are...
Autores principales: | de Torrente, Laurence, Zimmerman, Samuel, Taylor, Deanne, Hasegawa, Yu, Wells, Christine A., Mar, Jessica C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5444375/ https://www.ncbi.nlm.nih.gov/pubmed/28560097 http://dx.doi.org/10.7717/peerj.3334 |
Ejemplares similares
-
PathVar: analysis of gene and protein expression variance in cellular pathways using microarray data
por: Glaab, Enrico, et al.
Publicado: (2012) -
Variability of Gene Expression Identifies Transcriptional Regulators of Early Human Embryonic Development
por: Hasegawa, Yu, et al.
Publicado: (2015) -
phylopath: Easy phylogenetic path analysis in R
por: van der Bijl, Wouter
Publicado: (2018) -
PhosVarDeep: deep-learning based prediction of phospho-variants using sequence information
por: Liu, Xia, et al.
Publicado: (2022) -
Editorial: Towards genome interpretation: Computational methods to model the genotype-phenotype relationship
por: Raimondi, Daniele, et al.
Publicado: (2022)