- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1745-6150
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Predicting clinical outcomes in neuroblastoma with genomic data integration ; volume:13 ; number:1 ; day:27 ; month:9 ; year:2018 ; pages:1-14 ; date:1.2018
Biology direct ; 13, Heft 1 (27.9.2018), 1-14, 1.2018
- Creator
-
Baali, Ilyes
- Contributor
-
Acar, D Alp Emre
Aderinwale, Tunde W.
HafezQorani, Saber
Kazan, Hilal
SpringerLink (Online service)
- DOI
-
10.1186/s13062-018-0223-8
- URN
-
urn:nbn:de:101:1-2018111022053635633020
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:03 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
- Baali, Ilyes
- Acar, D Alp Emre
- Aderinwale, Tunde W.
- HafezQorani, Saber
- Kazan, Hilal
- SpringerLink (Online service)
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Genomic analysis identifies frequent deletions of Dystrophin in olfactory neuroblastoma
Predicting the accuracy of genomic predictions
Multi-omics integration for neuroblastoma clinical endpoint prediction
Integrative genomic analyses identify neuroblastoma risk genes involved in neuronal differentiation
Design of a multi-signature ensemble classifier predicting neuroblastoma patients' outcome
Predicting survival times for neuroblastoma patients using RNA-seq expression profiles
Integration of molecular features with clinical information for predicting outcomes for neuroblastoma patients
A deep neural network approach to predicting clinical outcomes of neuroblastoma patients
Neuroblastoma treatment in the post-genomic era
Genomic profile of MYCN non-amplified neuroblastoma and potential for immunotherapeutic strategies in neuroblastoma
Predicting co-complexed protein pairs using genomic and proteomic data integration
Radiomics analysis of contrast-enhanced computed tomography in predicting the International Neuroblastoma Pathology Classification in neuroblastoma
Genomic analysis identifies frequent deletions of Dystrophin in olfactory neuroblastoma
Predicting the accuracy of genomic predictions
Multi-omics integration for neuroblastoma clinical endpoint prediction
Integrative genomic analyses identify neuroblastoma risk genes involved in neuronal differentiation
Design of a multi-signature ensemble classifier predicting neuroblastoma patients' outcome