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Analysis of Single-Cell Data - ODE Constrained Mixture Modeling and Approximate Bayesian Computation (Paperback, 1st ed. 2016)
Loot Price: R1,748
Discovery Miles 17 480
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Analysis of Single-Cell Data - ODE Constrained Mixture Modeling and Approximate Bayesian Computation (Paperback, 1st ed. 2016)
Series: BestMasters
Expected to ship within 10 - 15 working days
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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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