Analysis of Single-Cell Data
ODE Constrained Mixture Modeling and Approximate Bayesian ComputationCarolin 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.ISBN: 9783658132330, 3658132337
Analysis of Single-Cell Data ODE Constrained Mixture Modeling and Approximate Bayesian Computation Ebook (djibook.shop)
$10.00
Carolin Loos
Category: 2016
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