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Analysis of Single-Cell Data
Ode Constrained Mixture Modeling And Approximate Bayesian Computation
- Editore:
Springer Fachmedien Wiesbaden
- Collana:
- Bestmasters
- EAN:
9783658132330
- ISBN:
3658132337
- Pagine:
- 116
- Formato:
- Paperback
- Lingua:
- Tedesco
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Descrizione Analysis of Single-Cell Data
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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