Analysis of Single-Cell Data

Analysis of Single-Cell Data

Springer Spektrum | Mathematics | March 18 2016 | ISBN-10: 3658132337 | 92 Pages | EPUB | 1.48 mb
Authors: Loos, Carolin
Publication in the field of natural 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 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.


[Fast Download] Analysis of Single-Cell Data

Ebooks related to "Analysis of Single-Cell Data" :
Dynamics of Mathematical Models in Biology: Bringing Mathematics to Life
Parallel Algorithms (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)
Characterizations of Univariate Continuous Distributions
Geometric Properties for Parabolic and Elliptic PDE's (Springer INdAM Series)
Riemannian Geometry, 3rd edition
Harmonic Analysis of Mean Periodic Functions on Symmetric Spaces and the Heisenberg Group
Accuracy and Stability of Numerical Algorithms
Statistical Practice in Business and Industry
Master Math: Solving Word Problems
Fixed Point Theory, Variational Analysis, and Optimization
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.