Modeling of 2D diffusion processes based on microscopy data: parameter estimation and practical identifiability analysis
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Modeling of 2D diffusion processes based on microscopy data: parameter estimation and practical identifiability analysis ; volume:14 ; number:10 ; day:12 ; month:8 ; year:2013 ; pages:1-6 ; date:8.2013
BMC bioinformatics ; 14, Heft 10 (12.8.2013), 1-6, 8.2013
- Creator
-
Hock, Sabrina
- Contributor
- DOI
-
10.1186/1471-2105-14-S10-S7
- URN
-
urn:nbn:de:1111-2016021742189
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:22 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
- Hock, Sabrina
- Hasenauer, Jan
- Theis, Fabian J.
- SpringerLink (Online service)
Other Objects (12)
Current best practices in single‐cell RNA‐seq analysis: a tutorial
Geometric source separation : algorithms and applications
Mathematics in independent component analysis
Deep learning methods for single cell morphometry in high-throughput microscopy
Computational prediction of cellular states in time-lapse microscopy based on single-cell morphodynamics
Quantification and analysis of single-cell protein dynamics in stem cells using time-lapse microscopy
Suchmaschinen entwickeln mit Apache Lucene
Portale und Webapplikationen mit Apache frameworks
Machine learning integrative approaches to advance computational immunology
Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Development of Hybrid Optoacoustic Tomography, Pulse-Echo and Transmission Ultrasonography
A systems biological perspective on complex human diseases: uncovering hidden relations via multi-scale network analyses
Current best practices in single‐cell RNA‐seq analysis: a tutorial
Geometric source separation : algorithms and applications
Mathematics in independent component analysis
Deep learning methods for single cell morphometry in high-throughput microscopy
Computational prediction of cellular states in time-lapse microscopy based on single-cell morphodynamics
Quantification and analysis of single-cell protein dynamics in stem cells using time-lapse microscopy
Suchmaschinen entwickeln mit Apache Lucene
Portale und Webapplikationen mit Apache frameworks
Machine learning integrative approaches to advance computational immunology
Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Development of Hybrid Optoacoustic Tomography, Pulse-Echo and Transmission Ultrasonography
A systems biological perspective on complex human diseases: uncovering hidden relations via multi-scale network analyses
Current best practices in single‐cell RNA‐seq analysis: a tutorial
Geometric source separation : algorithms and applications
Mathematics in independent component analysis
Deep learning methods for single cell morphometry in high-throughput microscopy
Computational prediction of cellular states in time-lapse microscopy based on single-cell morphodynamics
Quantification and analysis of single-cell protein dynamics in stem cells using time-lapse microscopy
Suchmaschinen entwickeln mit Apache Lucene
Portale und Webapplikationen mit Apache frameworks
Machine learning integrative approaches to advance computational immunology
Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Development of Hybrid Optoacoustic Tomography, Pulse-Echo and Transmission Ultrasonography