Carolin Loos
Analysis of Single-Cell Data
ODE Constrained Mixture Modeling and Approximate Bayesian Computation
Paperback Engels 2016 9783658132330Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9783658132330
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Fachmedien Wiesbaden
Serie:BestMasters
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Inhoudsopgave
<p>Modeling and Parameter Estimation for Single-Cell
Data.- ODE Constrained Mixture Modeling for Multivariate Data.- Approximate
Bayesian Computation Using Multivariate Statistics.</p>
Data.- ODE Constrained Mixture Modeling for Multivariate Data.- Approximate
Bayesian Computation Using Multivariate Statistics.</p>
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