Cargando…
Integration of biological data by kernels on graph nodes allows prediction of new genes involved in mitotic chromosome condensation
The advent of genome-wide RNA interference (RNAi)–based screens puts us in the position to identify genes for all functions human cells carry out. However, for many functions, assay complexity and cost make genome-scale knockdown experiments impossible. Methods to predict genes required for cell fun...
Autores principales: | Hériché, Jean-Karim, Lees, Jon G., Morilla, Ian, Walter, Thomas, Petrova, Boryana, Roberti, M. Julia, Hossain, M. Julius, Adler, Priit, Fernández, José M., Krallinger, Martin, Haering, Christian H., Vilo, Jaak, Valencia, Alfonso, Ranea, Juan A., Orengo, Christine, Ellenberg, Jan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Cell Biology
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4142622/ https://www.ncbi.nlm.nih.gov/pubmed/24943848 http://dx.doi.org/10.1091/mbc.E13-04-0221 |
Ejemplares similares
-
Control of mitotic chromosome condensation by the fission yeast transcription factor Zas1
por: Schiklenk, Christoph, et al.
Publicado: (2018) -
GraphWeb: mining heterogeneous biological networks for gene modules with functional significance
por: Reimand, Jüri, et al.
Publicado: (2008) -
Robust rank aggregation for gene list integration and meta-analysis
por: Kolde, Raivo, et al.
Publicado: (2012) -
funcExplorer: a tool for fast data-driven functional characterisation of high-throughput expression data
por: Kolberg, Liis, et al.
Publicado: (2018) -
PAWER: protein array web exploreR
por: Fishman, Dmytro, et al.
Publicado: (2020)