Comprehensive multi-omics analysis of breast cancer reveals distinct long-term prognostic subtypes
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Comprehensive multi-omics analysis of breast cancer reveals distinct long-term prognostic subtypes ; volume:13 ; number:1 ; day:13 ; month:6 ; year:2024 ; pages:1-13 ; date:12.2024
Oncogenesis ; 13, Heft 1 (13.6.2024), 1-13, 12.2024
- Creator
-
Sharma, Abhibhav
Debik, Julia
Naume, Bjørn
Ohnstad, Hege Oma
Bathen, Tone F.
Giskeødegård, Guro F.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41389-024-00521-6
- URN
-
urn:nbn:de:101:1-2408200846540.452778339328
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.1970, 12:00 AM CET
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
- Sharma, Abhibhav
- Debik, Julia
- Naume, Bjørn
- Ohnstad, Hege Oma
- Bathen, Tone F.
- Giskeødegård, Guro F.
- SpringerLink (Online service)
Other Objects (12)
Multi-omics analysis identifies osteosarcoma subtypes with distinct prognosis indicating stratified treatment
Multi-omics cluster defines the subtypes of CRC with distinct prognosis and tumor microenvironment
Deep learning-based ovarian cancer subtypes identification using multi-omics data
A multi-omics dataset for the analysis of frontotemporal dementia genetic subtypes
Integrating Multi-omics to Identify Age-Related Macular Degeneration Subtypes and Biomarkers
Integrative multi-omics reveals two biologically distinct groups of pilocytic astrocytoma
Galbase: a comprehensive repository for integrating chicken multi-omics data
Multi-omics of AML
Exploring the mechanism underlying hyperuricemia using comprehensive research on multi-omics
Multi-omics integration with weighted affinity and self-diffusion applied for cancer subtypes identification
Recursive integration of synergised graph representations of multi-omics data for cancer subtypes identification
Systems biology and multi-omics
Multi-omics analysis identifies osteosarcoma subtypes with distinct prognosis indicating stratified treatment
Multi-omics cluster defines the subtypes of CRC with distinct prognosis and tumor microenvironment
Deep learning-based ovarian cancer subtypes identification using multi-omics data
A multi-omics dataset for the analysis of frontotemporal dementia genetic subtypes
Integrating Multi-omics to Identify Age-Related Macular Degeneration Subtypes and Biomarkers
Integrative multi-omics reveals two biologically distinct groups of pilocytic astrocytoma
Galbase: a comprehensive repository for integrating chicken multi-omics data
Multi-omics of AML
Exploring the mechanism underlying hyperuricemia using comprehensive research on multi-omics
Multi-omics integration with weighted affinity and self-diffusion applied for cancer subtypes identification
Recursive integration of synergised graph representations of multi-omics data for cancer subtypes identification
Systems biology and multi-omics
Multi-omics analysis identifies osteosarcoma subtypes with distinct prognosis indicating stratified treatment
Multi-omics cluster defines the subtypes of CRC with distinct prognosis and tumor microenvironment
Deep learning-based ovarian cancer subtypes identification using multi-omics data
A multi-omics dataset for the analysis of frontotemporal dementia genetic subtypes
Integrating Multi-omics to Identify Age-Related Macular Degeneration Subtypes and Biomarkers
Integrative multi-omics reveals two biologically distinct groups of pilocytic astrocytoma
Galbase: a comprehensive repository for integrating chicken multi-omics data
Multi-omics of AML
Exploring the mechanism underlying hyperuricemia using comprehensive research on multi-omics
Multi-omics integration with weighted affinity and self-diffusion applied for cancer subtypes identification
Recursive integration of synergised graph representations of multi-omics data for cancer subtypes identification