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Analysis of Single-Cell Data = ODE Constrained Mixture Modeling and Approximate Bayesian Computation /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Analysis of Single-Cell Data / by Carolin Loos.
Reminder of title:	ODE Constrained Mixture Modeling and Approximate Bayesian Computation /
Author:	Loos, Carolin.
Description:	XXI, 92 p. 26 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Biomathematics. -
Online resource:	https://doi.org/10.1007/978-3-658-13234-7
ISBN:	9783658132347

Analysis of Single-Cell Data = ODE Constrained Mixture Modeling and Approximate Bayesian Computation /
Loos, Carolin.

Analysis of Single-Cell Data ODE Constrained Mixture Modeling and Approximate Bayesian Computation /[electronic resource] :by Carolin Loos. - 1st ed. 2016. - XXI, 92 p. 26 illus.online resource. - BestMasters,2625-3577. - BestMasters,.

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

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“.

ISBN: 9783658132347

Standard No.: 10.1007/978-3-658-13234-7doiSubjects--Topical Terms:

527725
Biomathematics.

LC Class. No.: QH323.5

Dewey Class. No.: 570.285

Analysis of Single-Cell Data = ODE Constrained Mixture Modeling and Approximate Bayesian Computation /
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