Cargando…
NEArender: an R package for functional interpretation of ‘omics’ data via network enrichment analysis
BACKGROUND: The statistical evaluation of pathway enrichment, i.e. of gene profiles' confluence to the pathway level, allows exploring molecular landscapes using functionally annotated gene sets. However, pathway scores can also be used as predictive features in machine learning. That requires,...
Autores principales: | Jeggari, Ashwini, Alexeyenko, Andrey |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5374688/ https://www.ncbi.nlm.nih.gov/pubmed/28361684 http://dx.doi.org/10.1186/s12859-017-1534-y |
Ejemplares similares
-
EviNet: a web platform for network enrichment analysis with flexible definition of gene sets
por: Jeggari, Ashwini, et al.
Publicado: (2018) -
Prediction of response to anti-cancer drugs becomes robust via network integration of molecular data
por: Franco, Marcela, et al.
Publicado: (2019) -
An R package for divergence analysis of omics data
por: Dinalankara, Wikum, et al.
Publicado: (2021) -
pathfindR: An R Package for Comprehensive Identification of Enriched Pathways in Omics Data Through Active Subnetworks
por: Ulgen, Ege, et al.
Publicado: (2019) -
Network enrichment analysis: extension of gene-set enrichment analysis to gene networks
por: Alexeyenko, Andrey, et al.
Publicado: (2012)