Click Here to Download: https://ouo.io/Tp95D3 Analysis of Single-Cell Data ODE Constrained Mixture Modeling and Approximate Bayesian Computation By: Carolin Loos Publisher: Springer Spektrum Print ISBN: 9783658132330, 3658132337 eText ISBN: 9783658132347, 3658132345 Copyright year: 2016 Format: PDF Available from $ 69.99 USD SKU 9783658132347 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.
