RT Journal Article
T1 Genome-scale mechanistic modeling of signaling pathways made easy: A bioconductor/cytoscape/web server framework for the analysis of omic data
A1 Rian, Kinza
A1 Hidalgo, Marta R.
A1 Çubuk, Cankut
A1 Falco, Matias M.
A1 Loucera, Carlos
A1 Esteban-Medina, Marina
A1 Alamo-Alvarez, Inmaculada
A1 Peña-Chilet, María
A1 Dopazo, Joaquín
K1 Signaling pathway
K1 Mathematical modelling
K1 Transcriptomic
K1 Causality
K1 Mutations
K1 Sistema de señalización
K1 Causalidad
K1 Mutación
AB Genome-scale mechanistic models of pathways are gaining importance for genomic data interpretation because they provide a natural link between genotype measurements (transcriptomics or genomics data) and the phenotype of the cell (its functional behavior). Moreover, mechanistic models can be used to predict the potential effect of interventions, including drug inhibitions. Here, we present the implementation of a mechanistic model of cell signaling for the interpretation of transcriptomic data as an R/Bioconductor package, a Cytoscape plugin and a web tool with enhanced functionality which includes building interpretable predictors, estimation of the effect of perturbations and assessment of the effect of mutations in complex scenarios.
PB Elsevier B.V
YR 2021
FD 2021-05-15
LK http://hdl.handle.net/10668/3908
UL http://hdl.handle.net/10668/3908
LA en
NO Rian K, Hidalgo MR, Çubuk C, Falco MM, Loucera C, Esteban-Medina M, et al. Genome-scale mechanistic modeling of signaling pathways made easy: A bioconductor/cytoscape/web server framework for the analysis of omic data. Comput Struct Biotechnol J. 2021 May 15;19:2968-2978
DS RISalud
RD Apr 6, 2025