Integration of multi-omics data with graph convolutional networks to identify cancer-associated genes
- Alternative title
-
Integration von verschiedenen molekularen Daten mit Konvolutionsnetzen für Graphen verbessert die Identifikation von Krebs-assoziierten Genen
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Berlin, Freie Universität Berlin, Dissertation, 2021
- Keyword
-
Cancer
Genes
- Event
-
Veröffentlichung
- (where)
-
Berlin
- (who)
-
Freie Universität Berlin
- (when)
-
2021
- Creator
- DOI
-
10.17169/refubium-31047
- URN
-
urn:nbn:de:kobv:188-refubium-31311-1
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:20 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
- Schulte-Sasse, Roman
- Freie Universität Berlin
Time of origin
- 2021
Other Objects (12)
Multi-omics of AML
Integrating Multi-omics to Identify Age-Related Macular Degeneration Subtypes and Biomarkers
Community-wide hackathons to identify central themes in single-cell multi-omics
Systems biology and multi-omics
Multi-omics approaches to disease
An integrated multi-omics approach to identify regulatory mechanisms in cancer metastatic processes
Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
Integrating plasma protein-centric multi-omics to identify potential therapeutic targets for pancreatic cancer
Multi-omics pan-cancer analyses identify MCM4 as a promising prognostic and diagnostic biomarker
Multi‐omics identify xanthine as a pro‐survival metabolite for nematodes with mitochondrial dysfunction
Author Correction: Community-wide hackathons to identify central themes in single-cell multi-omics
Multi-omics of AML
Integrating Multi-omics to Identify Age-Related Macular Degeneration Subtypes and Biomarkers
Community-wide hackathons to identify central themes in single-cell multi-omics
Systems biology and multi-omics
Multi-omics approaches to disease
An integrated multi-omics approach to identify regulatory mechanisms in cancer metastatic processes
Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
Integrating plasma protein-centric multi-omics to identify potential therapeutic targets for pancreatic cancer
Multi-omics pan-cancer analyses identify MCM4 as a promising prognostic and diagnostic biomarker
Multi‐omics identify xanthine as a pro‐survival metabolite for nematodes with mitochondrial dysfunction
Author Correction: Community-wide hackathons to identify central themes in single-cell multi-omics
Multi-omics of AML
Integrating Multi-omics to Identify Age-Related Macular Degeneration Subtypes and Biomarkers
Community-wide hackathons to identify central themes in single-cell multi-omics
Systems biology and multi-omics
Multi-omics approaches to disease
An integrated multi-omics approach to identify regulatory mechanisms in cancer metastatic processes
Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
Integrating plasma protein-centric multi-omics to identify potential therapeutic targets for pancreatic cancer
Multi-omics pan-cancer analyses identify MCM4 as a promising prognostic and diagnostic biomarker
Multi‐omics identify xanthine as a pro‐survival metabolite for nematodes with mitochondrial dysfunction