Title: Analysis of Single-Cell Data: ODE Constrained Mixture Modeling and Approximate Bayesian Computation (BestMasters)
Publisher: Springer Spektrum
Publication Date: 2016
Language: English
ISBN 10: 3658132337
ISBN 13: 9783658132330
Binding: Soft cover
Condition: New

About this title

Synopsis

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.

About the Author

Carolin Loos is currently doing her PhD at the Institute of Computational Biology at the Helmholtz Zentrum M�nchen. She is member of the junior research group „Data-driven Computational Modeling“.

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