Combining multiple spatial statistics enhances the description of immune cell localisation within tumours
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Combining multiple spatial statistics enhances the description of immune cell localisation within tumours ; volume:10 ; number:1 ; day:29 ; month:10 ; year:2020 ; pages:1-12 ; date:12.2020
Scientific reports ; 10, Heft 1 (29.10.2020), 1-12, 12.2020
- Creator
-
Bull, Joshua A.
Macklin, Philip S.
Quaiser, Tom
Braun, Franziska
Waters, Sarah L.
Pugh, Chris W.
Byrne, Helen M.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-020-75180-9
- URN
-
urn:nbn:de:101:1-2020120723241315321025
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:35 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
- Bull, Joshua A.
- Macklin, Philip S.
- Quaiser, Tom
- Braun, Franziska
- Waters, Sarah L.
- Pugh, Chris W.
- Byrne, Helen M.
- SpringerLink (Online service)
Other Objects (12)
A multiscale ocean data assimilation approach combining spatial and spectral localisation
A multiscale ocean data assimilation approach combining spatial and spectral localisation
Pancreatic B-Cell Peptides as Parameters for Diagnosis and Localisation of Hormone Secreting Tumours
Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures
Combining Mechanisms of Growth Arrest in Solid Tumours: A Mathematical Investigation
Combining block-based and pixel-based approaches to improve crack detection and localisation
Pediatric tumours: liver tumours
Self-organised localisation
Towards advanced data analysis by combining soft computing and statistics
A Note on Estimation Via Linearly Combining Two Given Statistics
Multi-PGS enhances polygenic prediction by combining 937 polygenic scores
Combining partial liver resection and local ablation of liver tumours: a preliminary Dutch experience
A multiscale ocean data assimilation approach combining spatial and spectral localisation
A multiscale ocean data assimilation approach combining spatial and spectral localisation
Pancreatic B-Cell Peptides as Parameters for Diagnosis and Localisation of Hormone Secreting Tumours
Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures
Combining Mechanisms of Growth Arrest in Solid Tumours: A Mathematical Investigation
Combining block-based and pixel-based approaches to improve crack detection and localisation
Pediatric tumours: liver tumours
Self-organised localisation
Towards advanced data analysis by combining soft computing and statistics
A Note on Estimation Via Linearly Combining Two Given Statistics
Multi-PGS enhances polygenic prediction by combining 937 polygenic scores
Combining partial liver resection and local ablation of liver tumours: a preliminary Dutch experience
A multiscale ocean data assimilation approach combining spatial and spectral localisation
A multiscale ocean data assimilation approach combining spatial and spectral localisation
Pancreatic B-Cell Peptides as Parameters for Diagnosis and Localisation of Hormone Secreting Tumours
Accuracy of semi-automated versus manual localisation of liver tumours in CT-guided ablation procedures
Combining Mechanisms of Growth Arrest in Solid Tumours: A Mathematical Investigation
Combining block-based and pixel-based approaches to improve crack detection and localisation
Pediatric tumours: liver tumours
Self-organised localisation
Towards advanced data analysis by combining soft computing and statistics
A Note on Estimation Via Linearly Combining Two Given Statistics
Multi-PGS enhances polygenic prediction by combining 937 polygenic scores