Analysis of Single-Cell Data : ODE Constrained Mixture Modeling and Approximate Bayesian Computation / / by Carolin Loos
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| Autore: |
Loos Carolin
|
| Titolo: |
Analysis of Single-Cell Data : ODE Constrained Mixture Modeling and Approximate Bayesian Computation / / by Carolin Loos
|
| Pubblicazione: | Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Spektrum, , 2016 |
| Edizione: | 1st ed. 2016. |
| Descrizione fisica: | 1 online resource (108 p.) |
| Disciplina: | 510 |
| Soggetto topico: | Biomathematics |
| Mathematics - Data processing | |
| Bioinformatics | |
| Mathematical and Computational Biology | |
| Computational Mathematics and Numerical Analysis | |
| Computational and Systems Biology | |
| Note generali: | Description based upon print version of record. |
| Nota di bibliografia: | Includes bibliographical references. |
| Nota di contenuto: | Modeling and Parameter Estimation for Single-Cell Data -- ODE Constrained Mixture Modeling for Multivariate Data -- Approximate Bayesian Computation Using Multivariate Statistics. |
| Sommario/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. 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“. |
| Titolo autorizzato: | Analysis of single-cell data |
| ISBN: | 3-658-13234-5 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910254061003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
BestMasters, . 2625-3615