Patient‐specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
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)
- Urheber
-
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
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:27 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Eduati, Federica
- Jaaks, Patricia
- Wappler, Jessica
- Cramer, Thorsten
- Merten, Christoph A.
- Garnett, Mathew J.
- Sáez Rodríguez, Julio
Ähnliche Objekte (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