From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: 10.1038/s41540-019-0118-z
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2019
- Creator
-
Liu, Anika
Trairatphisan, Panuwat
Gjerga, Enio
Didangelos, Athanasios
Barratt, Jonathan
Sáez Rodríguez, Julio
- DOI
-
10.18154/RWTH-2020-01294
- URN
-
urn:nbn:de:101:1-2020111910254457680164
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Liu, Anika
- Trairatphisan, Panuwat
- Gjerga, Enio
- Didangelos, Athanasios
- Barratt, Jonathan
- Sáez Rodríguez, Julio
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2019
Other Objects (12)
Modular analysis of signal transduction networks
Personalized signaling models for personalized treatments
Enablers and challenges of spatial omics, a melting pot of technologies
Multi-scale molecular descriptions of human heart failure using single cell, spatial, and bulk transcriptomics
Bridging the gap between signalling and metabolism through functional and mechanistic analysis of multi-omic data
Modeling intra- and intercellular communication in the context of human cancer from high-throughput data
Personalized signaling models for personalized treatments
Looking beyond the cancer cell for effective drug combinations
CySBGN: A Cytoscape plug-in to integrate SBGN maps
From gene expression to pathway and transcription factor activities to study chronic liver diseases
Perturbation-response genes reveal signaling footprints in cancer gene expression
Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach
Modular analysis of signal transduction networks
Personalized signaling models for personalized treatments
Enablers and challenges of spatial omics, a melting pot of technologies
Multi-scale molecular descriptions of human heart failure using single cell, spatial, and bulk transcriptomics
Bridging the gap between signalling and metabolism through functional and mechanistic analysis of multi-omic data
Modeling intra- and intercellular communication in the context of human cancer from high-throughput data
Personalized signaling models for personalized treatments
Looking beyond the cancer cell for effective drug combinations
CySBGN: A Cytoscape plug-in to integrate SBGN maps
From gene expression to pathway and transcription factor activities to study chronic liver diseases
Perturbation-response genes reveal signaling footprints in cancer gene expression
Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach
Modular analysis of signal transduction networks
Personalized signaling models for personalized treatments
Enablers and challenges of spatial omics, a melting pot of technologies
Multi-scale molecular descriptions of human heart failure using single cell, spatial, and bulk transcriptomics
Bridging the gap between signalling and metabolism through functional and mechanistic analysis of multi-omic data
Modeling intra- and intercellular communication in the context of human cancer from high-throughput data
Personalized signaling models for personalized treatments
Looking beyond the cancer cell for effective drug combinations
CySBGN: A Cytoscape plug-in to integrate SBGN maps
From gene expression to pathway and transcription factor activities to study chronic liver diseases
Perturbation-response genes reveal signaling footprints in cancer gene expression