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Anglický jazyk
Analysis of Single-Cell Data
Autor: Carolin Loos
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....
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O knihe
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.
- Vydavateľstvo: Springer Fachmedien Wiesbaden
- Rok vydania: 2016
- Formát: Paperback
- Rozmer: 210 x 148 mm
- Jazyk: Anglický jazyk
- ISBN: 9783658132330
