Cargando…
SEMtree: tree-based structure learning methods with structural equation models
MOTIVATION: With the exponential growth of expression and protein–protein interaction (PPI) data, the identification of functional modules in PPI networks that show striking changes in molecular activity or phenotypic signatures becomes of particular interest to reveal process-specific information t...
Autores principales: | Grassi, Mario, Tarantino, Barbara |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287946/ https://www.ncbi.nlm.nih.gov/pubmed/37294820 http://dx.doi.org/10.1093/bioinformatics/btad377 |
Ejemplares similares
-
SEMgsa: topology-based pathway enrichment analysis with structural equation models
por: Grassi, Mario, et al.
Publicado: (2022) -
Score-Guided Structural Equation Model Trees
por: Arnold, Manuel, et al.
Publicado: (2021) -
Structural equation modeling: methods and applications
por: Wang, Jichuan, et al.
Publicado: (2012) -
Structural Equation Modeling with Mplus
por: Byrne, Barbara
Publicado: (2013) -
Investigating perturbed pathway modules from gene expression data via structural equation models
por: Pepe, Daniele, et al.
Publicado: (2014)