| Description |
1 online resource (xxi, 92 pages) : illustrations. |
| Physical Medium |
polychrome |
| Description |
text file |
| Series |
BestMasters
|
|
BestMasters.
|
| Bibliography |
Includes bibliographical references. |
| Contents |
Modeling and Parameter Estimation for Single-Cell Data -- ODE Constrained Mixture Modeling for Multivariate Data -- Approximate Bayesian Computation Using Multivariate Statistics. |
| Summary |
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. Contents Modeling and Parameter Estimation for Single-Cell Data ODE Constrained Mixture Modeling for Multivariate Data Approximate Bayesian Computation Using Multivariate Statistics Target Groups Researchers and students in the fields of (bio- )mathematics, statistics, bioinformatics System biologists, biostatisticians, bioinformaticians The Author Carolin Loos is currently doing her PhD at the Institute of Computational Biology at the Helmholtz Zentrum M©ơnchen. She is member of the junior research group ℓ́ℓData-driven Computational Modelingℓ́ℓ. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Systems biology -- Statistical methods.
|
|
Systems biology. |
|
Statistics. |
|
Constrained optimization.
|
|
Constrained optimization. |
|
NATURE -- Reference. |
|
SCIENCE -- Life Sciences -- Biology. |
|
SCIENCE -- Life Sciences -- General. |
| Other Form: |
Printed edition: 9783658132330 |
| ISBN |
9783658132347 (electronic book) |
|
3658132345 (electronic book) |
|
3658132337 (print) |
|
9783658132330 (print) |
|
9783658132330 (print) |
| Standard No. |
10.1007/978-3-658-13234-7 |
|
