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
• Themen: Mathematik und Naturwissenschaften Biologie, Biowissenschaften Biowissenschaften, allgemein DV-gestützte Biologie/Bioinformatik
• ISBN: 9783658132330
• Sprache: Englisch
• Erscheinungsdatum: 23.03.2016
• Größe: 21 x 14.8 cm
• Verlag: Springer Fachmedien Wiesbaden GmbH