Cargando…
De novo identification of maximally deregulated subnetworks based on multi-omics data with DeRegNet
BACKGROUND: With a growing amount of (multi-)omics data being available, the extraction of knowledge from these datasets is still a difficult problem. Classical enrichment-style analyses require predefined pathways or gene sets that are tested for significant deregulation to assess whether the pathw...
Autores principales: | Winkler, Sebastian, Winkler, Ivana, Figaschewski, Mirjam, Tiede, Thorsten, Nordheim, Alfred, Kohlbacher, Oliver |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020058/ https://www.ncbi.nlm.nih.gov/pubmed/35439941 http://dx.doi.org/10.1186/s12859-022-04670-6 |
Ejemplares similares
-
The personalized cancer network explorer (PeCaX) as a visual analytics tool to support molecular tumor boards
por: Figaschewski, Mirjam, et al.
Publicado: (2023) -
Finding maximally disconnected subnetworks with shortest path tractography
por: Greene, Clint, et al.
Publicado: (2019) -
IODNE: An integrated optimization method for identifying the deregulated subnetwork for precision medicine in cancer
por: Mounika Inavolu, S, et al.
Publicado: (2017) -
Hierarchical HotNet: identifying hierarchies of altered subnetworks
por: Reyna, Matthew A, et al.
Publicado: (2018) -
iOmicsPASS: network-based integration of multiomics data for predictive subnetwork discovery
por: Koh, Hiromi W. L., et al.
Publicado: (2019)