Analysis of Single-Cell Data ODE Constrained Mixture Modeling and Approximate Bayesian Computation /

• Main Author: Loos, Carolin (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2016.
• Edition: 1st ed. 2016.
• Series: BestMasters
• Subjects: Mathematics.; Bioinformatics.; Computational biology.; Computer mathematics.; Biomathematics.; Mathematical and Computational Biology.; Computational Mathematics and Numerical Analysis.; Computer Appl. in Life Sciences.

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 sub...

Table of Contents:

• Modeling and Parameter Estimation for Single-Cell Data
• ODE Constrained Mixture Modeling for Multivariate Data
• Approximate Bayesian Computation Using Multivariate Statistics.