Epicardioid single-cell genomics uncovers principles of human epicardium biology in heart development and disease
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Epicardioid single-cell genomics uncovers principles of human epicardium biology in heart development and disease ; volume:41 ; number:12 ; day:3 ; month:4 ; year:2023 ; pages:1787-1800 ; date:12.2023
Nature biotechnology ; 41, Heft 12 (3.4.2023), 1787-1800, 12.2023
- Urheber
-
Meier, Anna B.
Zawada, Dorota
De Angelis, Maria Teresa
Martens, Laura D.
Santamaria, Gianluca
Zengerle, Sophie
Nowak-Imialek, Monika
Kornherr, Jessica
Zhang, Fangfang
Tian, Qinghai
Wolf, Cordula M.
Kupatt, Christian
Sahara, Makoto
Lipp, Peter
Theis, Fabian J.
Gagneur, Julien
Goedel, Alexander
Laugwitz, Karl-Ludwig
Dorn, Tatjana
Moretti, Alessandra
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41587-023-01718-7
- URN
-
urn:nbn:de:101:1-2024022614334956308643
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:46 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Meier, Anna B.
- Zawada, Dorota
- De Angelis, Maria Teresa
- Martens, Laura D.
- Santamaria, Gianluca
- Zengerle, Sophie
- Nowak-Imialek, Monika
- Kornherr, Jessica
- Zhang, Fangfang
- Tian, Qinghai
- Wolf, Cordula M.
- Kupatt, Christian
- Sahara, Makoto
- Lipp, Peter
- Theis, Fabian J.
- Gagneur, Julien
- Goedel, Alexander
- Laugwitz, Karl-Ludwig
- Dorn, Tatjana
- Moretti, Alessandra
- SpringerLink (Online service)
Ähnliche Objekte (12)
Current best practices in single‐cell RNA‐seq analysis: a tutorial
Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Geometric source separation : algorithms and applications
Mathematics in independent component analysis
Charting the neural organoid landscape and the impact of glucocorticoids on human brain development through single-cell genomics
SCANPY: large-scale single-cell gene expression data analysis
Charting the endocrine cell system in health and diabetes using single-cell transcriptomics
Computational prediction of cellular states in time-lapse microscopy based on single-cell morphodynamics
Single-cell transcriptomics driven exploration of pathogenesis and impaired regeneration in chronic lung diseases
From RNA-sequencing to imaging flow cytometry: Profiling large single-cell datasets with machine learning
Quantification and analysis of single-cell protein dynamics in stem cells using time-lapse microscopy
MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data
Current best practices in single‐cell RNA‐seq analysis: a tutorial
Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Geometric source separation : algorithms and applications
Mathematics in independent component analysis
Charting the neural organoid landscape and the impact of glucocorticoids on human brain development through single-cell genomics
SCANPY: large-scale single-cell gene expression data analysis
Charting the endocrine cell system in health and diabetes using single-cell transcriptomics
Computational prediction of cellular states in time-lapse microscopy based on single-cell morphodynamics
Single-cell transcriptomics driven exploration of pathogenesis and impaired regeneration in chronic lung diseases
From RNA-sequencing to imaging flow cytometry: Profiling large single-cell datasets with machine learning
Quantification and analysis of single-cell protein dynamics in stem cells using time-lapse microscopy
MCA: Multiresolution Correlation Analysis, a graphical tool for subpopulation identification in single-cell gene expression data
Current best practices in single‐cell RNA‐seq analysis: a tutorial
Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Geometric source separation : algorithms and applications
Mathematics in independent component analysis
Charting the neural organoid landscape and the impact of glucocorticoids on human brain development through single-cell genomics
SCANPY: large-scale single-cell gene expression data analysis
Charting the endocrine cell system in health and diabetes using single-cell transcriptomics
Computational prediction of cellular states in time-lapse microscopy based on single-cell morphodynamics
Single-cell transcriptomics driven exploration of pathogenesis and impaired regeneration in chronic lung diseases
From RNA-sequencing to imaging flow cytometry: Profiling large single-cell datasets with machine learning
Quantification and analysis of single-cell protein dynamics in stem cells using time-lapse microscopy