Characterizing cell states in early embryonic development with single-cell RNA sequencing and mathematical modelling
- Weitere Titel
-
Charakterisierung von Zellzuständen in der frühen embryonalen Entwicklung mit Einzelzell-RNA-Sequenzierung und mathematischer Modellierung
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
München, Technische Universität München, Dissertation, 2024
- Schlagwort
-
Embryonalentwicklung
RNS
Einzelzellanalyse
- Ereignis
-
Veröffentlichung
- (wo)
-
München
- (wer)
-
Universitätsbibliothek der TU München
- (wann)
-
2024
- Urheber
-
Lubatti, Gabriele
- Beteiligte Personen und Organisationen
-
Theis, Fabian J.
Colomé-Tatché, Maria
Theis, Fabian J.
Göttgens, Bertie
- URN
-
urn:nbn:de:bvb:91-diss-20240419-1710701-1-4
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:52 MEZ
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
- Lubatti, Gabriele
- Theis, Fabian J.
- Colomé-Tatché, Maria
- Göttgens, Bertie
- Universitätsbibliothek der TU München
Entstanden
- 2024
Ähnliche Objekte (12)
Quantification and analysis of single-cell protein dynamics in stem cells using time-lapse microscopy
Inferring mechanisms of T cell expansion and contraction in response to acute infection from single-cell data
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
Stochastic and deterministic methods for the analysis of Nanog dynamics in mouse embryonic stem cells
Statistical data integration for single-cell RNA-sequencing - batch effect correction and lineage inference
Stochastic Modeling of Heterogeneous Low-Input Gene Expression: Linking Single-Cell Probability Distributions to Transcription Mechanisms
Geometric source separation : algorithms and applications
Mathematics in independent component analysis
Modeling spatiotemporal single cell patterns in tissue maintenance and repair
Deep learning methods for single cell morphometry in high-throughput microscopy
Quantification and analysis of single-cell protein dynamics in stem cells using time-lapse microscopy
Inferring mechanisms of T cell expansion and contraction in response to acute infection from single-cell data
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
Stochastic and deterministic methods for the analysis of Nanog dynamics in mouse embryonic stem cells
Statistical data integration for single-cell RNA-sequencing - batch effect correction and lineage inference
Stochastic Modeling of Heterogeneous Low-Input Gene Expression: Linking Single-Cell Probability Distributions to Transcription Mechanisms
Geometric source separation : algorithms and applications
Mathematics in independent component analysis
Modeling spatiotemporal single cell patterns in tissue maintenance and repair
Deep learning methods for single cell morphometry in high-throughput microscopy
Quantification and analysis of single-cell protein dynamics in stem cells using time-lapse microscopy
Inferring mechanisms of T cell expansion and contraction in response to acute infection from single-cell data
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
Stochastic and deterministic methods for the analysis of Nanog dynamics in mouse embryonic stem cells
Statistical data integration for single-cell RNA-sequencing - batch effect correction and lineage inference
Stochastic Modeling of Heterogeneous Low-Input Gene Expression: Linking Single-Cell Probability Distributions to Transcription Mechanisms
Geometric source separation : algorithms and applications
Mathematics in independent component analysis
Modeling spatiotemporal single cell patterns in tissue maintenance and repair