Analysis of Single-Cell Data

ODE Constrained Mixture Modeling and Approximate Bayesian Computation

von Carolin Loos

92 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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. 

• Reihe: BestMasters
• ISBN: 9783658132330
• Sprache: Englisch
• Erscheinungsdatum: 23.03.2016
• Genre: Mathematik/Sonstiges
• Verlag: Springer Fachmedien Wiesbaden GmbH