Translating genomic tools to Raman spectroscopy analysis enables high-dimensional tissue characterization on molecular resolution
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Translating genomic tools to Raman spectroscopy analysis enables high-dimensional tissue characterization on molecular resolution ; volume:14 ; number:1 ; day:19 ; month:9 ; year:2023 ; pages:1-16 ; date:12.2023
Nature Communications ; 14, Heft 1 (19.9.2023), 1-16, 12.2023
- Creator
-
Sigle, Manuel
Rohlfing, Anne-Katrin
Kenny, Martin
Scheuermann, Sophia
Sun, Na
Graeßner, Ulla
Haug, Verena
Sudmann, Jessica
Seitz, Christian M.
Heinzmann, David
Schenke-Layland, Katja
Maguire, Patricia B.
Walch, Axel
Marzi, Julia
Gawaz, Meinrad Paul
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-023-41417-0
- URN
-
urn:nbn:de:101:1-2024020210225775930787
- Rights
-
Open Access; 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
- Sigle, Manuel
- Rohlfing, Anne-Katrin
- Kenny, Martin
- Scheuermann, Sophia
- Sun, Na
- Graeßner, Ulla
- Haug, Verena
- Sudmann, Jessica
- Seitz, Christian M.
- Heinzmann, David
- Schenke-Layland, Katja
- Maguire, Patricia B.
- Walch, Axel
- Marzi, Julia
- Gawaz, Meinrad Paul
- SpringerLink (Online service)
Other Objects (12)
Translating genomic medicine to the clinic: challenges and opportunities
Local prediction-learning in high-dimensional spaces enables neural networks to plan
Immuno-detection by sequencing enables large-scale high-dimensional phenotyping in cells
A reaction norm model for genomic selection using high-dimensional genomic and environmental data
Extending the multistate framework to incorporate high-dimensional genomic information
CLIMB: High-dimensional association detection in large scale genomic data
Flexible 3D Plasmonic Web Enables Remote Surface Enhanced Raman Spectroscopy
Chirality conferral enables the observation of hyper-Raman optical activity
Genomic exaptation enables Lasius niger adaptation to urban environments
Translating gender
Translating Emotions
Translating Texture
Translating genomic medicine to the clinic: challenges and opportunities
Local prediction-learning in high-dimensional spaces enables neural networks to plan
Immuno-detection by sequencing enables large-scale high-dimensional phenotyping in cells
A reaction norm model for genomic selection using high-dimensional genomic and environmental data
Extending the multistate framework to incorporate high-dimensional genomic information
CLIMB: High-dimensional association detection in large scale genomic data
Flexible 3D Plasmonic Web Enables Remote Surface Enhanced Raman Spectroscopy
Chirality conferral enables the observation of hyper-Raman optical activity
Genomic exaptation enables Lasius niger adaptation to urban environments
Translating gender
Translating Emotions
Translating Texture
Translating genomic medicine to the clinic: challenges and opportunities
Local prediction-learning in high-dimensional spaces enables neural networks to plan
Immuno-detection by sequencing enables large-scale high-dimensional phenotyping in cells
A reaction norm model for genomic selection using high-dimensional genomic and environmental data
Extending the multistate framework to incorporate high-dimensional genomic information
CLIMB: High-dimensional association detection in large scale genomic data
Flexible 3D Plasmonic Web Enables Remote Surface Enhanced Raman Spectroscopy
Chirality conferral enables the observation of hyper-Raman optical activity
Genomic exaptation enables Lasius niger adaptation to urban environments
Translating gender
Translating Emotions