1.

Record Nr.

UNINA9910254061003321

Autore

Loos Carolin

Titolo

Analysis of Single-Cell Data : ODE Constrained Mixture Modeling and Approximate Bayesian Computation / / by Carolin Loos

Pubbl/distr/stampa

Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Spektrum, , 2016

ISBN

3-658-13234-5

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (108 p.)

Collana

BestMasters, , 2625-3615

Disciplina

510

Soggetti

Biomathematics

Mathematics - Data processing

Bioinformatics

Mathematical and Computational Biology

Computational Mathematics and Numerical Analysis

Computational and Systems Biology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Modeling and Parameter Estimation for Single-Cell Data -- ODE Constrained Mixture Modeling for Multivariate Data -- Approximate Bayesian Computation Using Multivariate Statistics.

Sommario/riassunto

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 München. She is member of the junior research group „Data-driven Computational Modeling“.

2.

Record Nr.

UNICAMPANIAVAN00006531

Autore

Musti, Domenico

Titolo

Demokratia : origini di un'idea / Domenico Musti

Pubbl/distr/stampa

Roma, : Laterza, 1997

ISBN

88-420-5210-8

Edizione

[1. ed. riv]

Descrizione fisica

XXXIV, 406 p. ; 21 cm.

Disciplina

321.80938

Soggetti

Democrazia - Teorie - Grecia antica

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia