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portada Analysis of Single-Cell Data: Ode Constrained Mixture Modeling and Approximate Bayesian Computation (Bestmasters)
Type
Physical Book
Publisher
Author
Year
2016
Language
English
Pages
116
Format
Paperback
ISBN13
9783658132330
Edition No.
1
Categories

Analysis of Single-Cell Data: Ode Constrained Mixture Modeling and Approximate Bayesian Computation (Bestmasters)

Carolin Loos (Author) · Springer Spektrum · Paperback

Analysis of Single-Cell Data: Ode Constrained Mixture Modeling and Approximate Bayesian Computation (Bestmasters) - Carolin Loos

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Synopsis "Analysis of Single-Cell Data: Ode Constrained Mixture Modeling and Approximate Bayesian Computation (Bestmasters) "

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. 

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