Buch, Englisch, 92 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 1607 g
Reihe: BestMasters
ODE Constrained Mixture Modeling and Approximate Bayesian Computation
Buch, Englisch, 92 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 1607 g
Reihe: BestMasters
ISBN: 978-3-658-13233-0
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Modeling and Parameter Estimation for Single-Cell Data.- ODE Constrained Mixture Modeling for Multivariate Data.- Approximate Bayesian Computation Using Multivariate Statistics.