Analysis of single-cell data

Autori

• Carolin Loos

Parametri

Pagine

116pagine

Tempo di lettura

5ore

• Computer, IT, programmazione
• BestMasters

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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. 

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Lingua: Inglese

Pubblicato: 2016

(In brossura)