- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Capturing heterogeneity in PDX models: representation matters ; volume:15 ; number:1 ; day:31 ; month:5 ; year:2024 ; pages:1-3 ; date:12.2024
Nature Communications ; 15, Heft 1 (31.5.2024), 1-3, 12.2024
- Classification
-
Wirtschaft
- Creator
-
Sunil, Hari Shankar
O’Donnell, Kathryn A.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-024-47607-8
- URN
-
urn:nbn:de:101:1-2408082116121.131317739081
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:54 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
- Sunil, Hari Shankar
- O’Donnell, Kathryn A.
- SpringerLink (Online service)
Other Objects (12)
DNA methylation profiles capturing breast cancer heterogeneity
Adaptively capturing the heterogeneity of expression for cancer biomarker identification
Capturing site-specific heterogeneity with large-scale N-glycoproteome analysis
Capturing what matters: updating NICE methods guidance on measuring and valuing health
Capturing single-cell heterogeneity via data fusion improves image-based profiling
Capturing dynamics in business model frameworks
Fluid models capturing Farley–Buneman instabilities
Fluid Models Capturing Farley-Buneman Instabilities
Bank lending in Switzerland: Capturing cross-sectional heterogeneity and asymmetry over time
Capturing phenotypic heterogeneity in MPS I: results of an international consensus procedure
Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies
Screening economies : money matters and the ethics of representation
DNA methylation profiles capturing breast cancer heterogeneity
Adaptively capturing the heterogeneity of expression for cancer biomarker identification
Capturing site-specific heterogeneity with large-scale N-glycoproteome analysis
Capturing what matters: updating NICE methods guidance on measuring and valuing health
Capturing single-cell heterogeneity via data fusion improves image-based profiling
Capturing dynamics in business model frameworks
Fluid models capturing Farley–Buneman instabilities
Fluid Models Capturing Farley-Buneman Instabilities
Bank lending in Switzerland: Capturing cross-sectional heterogeneity and asymmetry over time
Capturing phenotypic heterogeneity in MPS I: results of an international consensus procedure
Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies
Screening economies : money matters and the ethics of representation
DNA methylation profiles capturing breast cancer heterogeneity
Adaptively capturing the heterogeneity of expression for cancer biomarker identification
Capturing site-specific heterogeneity with large-scale N-glycoproteome analysis
Capturing what matters: updating NICE methods guidance on measuring and valuing health
Capturing single-cell heterogeneity via data fusion improves image-based profiling
Capturing dynamics in business model frameworks
Fluid models capturing Farley–Buneman instabilities
Fluid Models Capturing Farley-Buneman Instabilities
Bank lending in Switzerland: Capturing cross-sectional heterogeneity and asymmetry over time
Capturing phenotypic heterogeneity in MPS I: results of an international consensus procedure
Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies