Analysis of Single-Cell Data: ODE Constrained Mixture Modeling and Approximate Bayesian Computation - Brossura

Loos, Carolin

Brossura

ISBN 10: 3658132337 ISBN 13: 9783658132330

Casa editrice: Springer Spektrum, 2016

Riassunto

Carolin Loos introduces two novel approaches for the analysis of single-cell data. Both approaches can be used to study cellular heterogeneity and therefore advance a holistic understanding of biological processes. The first method, ODE constrained mixture modeling, enables the identification of subpopulation structures and sources of variability in single-cell snapshot data. The second method estimates parameters of single-cell time-lapse data using approximate Bayesian computation and is able to exploit the temporal cross-correlation of the data as well as lineage information. 

Su questo libro

Informazioni sull?autore

Carolin Loos is currently doing her PhD at the Institute ofComputational Biology at the Helmholtz Zentrum München. She is member of thejunior research group „Data-driven Computational Modeling“. 

Dalla quarta di copertina

Carolin Loos introduces two novel approaches for the analysis of single-cell data. Both approaches can be used to study cellular heterogeneity and therefore advance a holistic understanding of biological processes. The first method, ODE constrained mixture modeling, enables the identification of subpopulation structures and sources of variability in single-cell snapshot data. The second method estimates parameters of single-cell time-lapse data using approximate Bayesian computation and is able to exploit the temporal cross-correlation of the data as well as lineage information.

Contents

• Modeling and Parameter Estimation for Single-Cell Data
• ODE Constrained Mixture Modeling for Multivariate Data
• Approximate Bayesian Computation Using Multivariate Statistics

Target Groups

Researchers and students in the fields of (bio-)mathematics, statistics, bioinformatics
• System biologists, biostatisticians, bioinformaticians

The Author
Carolin Loos is currently doing her PhD at the Institute of Computational Biology at the Helmholtz Zentrum München. She is member of the junior research group Data-driven Computational Modeling .

Dettagli dell?edizione

• Editore: Springer Spektrum
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3658132337
• ISBN 13: 9783658132330
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 116
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile