Patient‐specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Patient‐specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies ; volume:16 ; number:2 ; year:2020 ; extent:13
Molecular systems biology ; 16, Heft 2 (2020) (gesamt 13)
- Creator
-
Eduati, Federica
Jaaks, Patricia
Wappler, Jessica
Cramer, Thorsten
Merten, Christoph A.
Garnett, Mathew J.
Sáez Rodríguez, Julio
- DOI
-
10.15252/msb.20188664
- URN
-
urn:nbn:de:101:1-2022062413414033073200
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:27 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
- Eduati, Federica
- Jaaks, Patricia
- Wappler, Jessica
- Cramer, Thorsten
- Merten, Christoph A.
- Garnett, Mathew J.
- Sáez Rodríguez, Julio
Other Objects (12)
Personalized signaling models for personalized treatments
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
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
A microfluidics platform for combinatorial drug screening on cancer biopsies
Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach
Personalized signaling models for personalized treatments
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
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
A microfluidics platform for combinatorial drug screening on cancer biopsies
Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach
Personalized signaling models for personalized treatments
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
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
A microfluidics platform for combinatorial drug screening on cancer biopsies