Analysis of single-cell data: ODE constrained mixture modeling and approximate Bayesian computation
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Wiesbaden
Springer
[2016]
|
| Schriftenreihe: | BestMasters
Spektrum |
| Schlagworte: | |
| Online-Zugang: | BTU01 FHR01 FRO01 TUM01 UBM01 UBT01 UBW01 UEI01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (XXI, 92 Seiten, 26 illus) |
| ISBN: | 9783658132347 |
| DOI: | 10.1007/978-3-658-13234-7 |
Internformat
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Datensatz im Suchindex
| _version_ | 1804176140648054784 |
|---|---|
| adam_text | ANALYSIS OF SINGLE-CELL DATA
/ LOOS, CAROLIN
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
MODELING AND PARAMETER ESTIMATION FOR SINGLE-CELL DATA
ODE CONSTRAINED MIXTURE MODELING FOR MULTIVARIATE DATA
APPROXIMATE BAYESIAN COMPUTATION USING MULTIVARIATE STATISTICS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
ANALYSIS OF SINGLE-CELL DATA
/ LOOS, CAROLIN
: 2016
ABSTRACT / INHALTSTEXT
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 MUENCHEN. SHE IS MEMBER OF THE JUNIOR RESEARCH
GROUP „DATA-DRIVEN COMPUTATIONAL MODELING“
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Loos, Carolin |
| author_facet | Loos, Carolin |
| author_role | aut |
| author_sort | Loos, Carolin |
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| bvnumber | BV043503768 |
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| dewey-full | 570.285 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
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| indexdate | 2024-07-10T07:27:27Z |
| institution | BVB |
| isbn | 9783658132347 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028920113 |
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| publishDate | 2016 |
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| spelling | Loos, Carolin Verfasser aut Analysis of single-cell data ODE constrained mixture modeling and approximate Bayesian computation Carolin Loos Wiesbaden Springer [2016] © 2016 1 Online-Ressource (XXI, 92 Seiten, 26 illus) txt rdacontent c rdamedia cr rdacarrier BestMasters Spektrum Mathematics Bioinformatics Computational biology Computer mathematics Biomathematics Mathematical and Computational Biology Computational Mathematics and Numerical Analysis Computer Appl. in Life Sciences Mathematik Erscheint auch als Druckausgabe 978-3-658-13233-0 https://doi.org/10.1007/978-3-658-13234-7 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028920113&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028920113&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Loos, Carolin Analysis of single-cell data ODE constrained mixture modeling and approximate Bayesian computation Mathematics Bioinformatics Computational biology Computer mathematics Biomathematics Mathematical and Computational Biology Computational Mathematics and Numerical Analysis Computer Appl. in Life Sciences Mathematik |
| title | Analysis of single-cell data ODE constrained mixture modeling and approximate Bayesian computation |
| title_auth | Analysis of single-cell data ODE constrained mixture modeling and approximate Bayesian computation |
| title_exact_search | Analysis of single-cell data ODE constrained mixture modeling and approximate Bayesian computation |
| title_full | Analysis of single-cell data ODE constrained mixture modeling and approximate Bayesian computation Carolin Loos |
| title_fullStr | Analysis of single-cell data ODE constrained mixture modeling and approximate Bayesian computation Carolin Loos |
| title_full_unstemmed | Analysis of single-cell data ODE constrained mixture modeling and approximate Bayesian computation Carolin Loos |
| title_short | Analysis of single-cell data |
| title_sort | analysis of single cell data ode constrained mixture modeling and approximate bayesian computation |
| title_sub | ODE constrained mixture modeling and approximate Bayesian computation |
| topic | Mathematics Bioinformatics Computational biology Computer mathematics Biomathematics Mathematical and Computational Biology Computational Mathematics and Numerical Analysis Computer Appl. in Life Sciences Mathematik |
| topic_facet | Mathematics Bioinformatics Computational biology Computer mathematics Biomathematics Mathematical and Computational Biology Computational Mathematics and Numerical Analysis Computer Appl. in Life Sciences Mathematik |
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