Analysis of Single-Cell Data - E-book

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Analysis Of Single-cell Data - ENG

Ode Constrained Mixture Modeling And Approximate Bayesian Computation

Carolin Loos

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Sinopsis

ISBN:	9783658132347
Formato:	Page Fidelity
Idioma:	Inglés
Editorial:	Springer Nature
Tema:	Matemáticas
Subtema:	Aplicada
Año de publicación:	2016-03-17

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.Â

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