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Bayesian calibration, process modeling and uncertainty quantification in biotechnology

; ; ; ;

In
PLoS Computational Biology 18(3), Seiten/Artikel-Nr.:e1009223

ImpressumSan Francisco, Calif. : Public Library of Science

Umfang1-46

ISSN1553-7358

Online
DOI: 10.18154/RWTH-2022-04546
DOI: 10.1371/journal.pcbi.1009223

URL: https://publications.rwth-aachen.de/record/845285/files/845285.pdf

Einrichtungen

  1. Lehrstuhl für Computational Systems Biotechnology (FZ Jülich) (420410)
  2. Aachener Verfahrenstechnik (416100)
  3. Fachgruppe Biologie (160000)
  4. Lehr- und Forschungsgebiet Bioprozess-Analytik (FZ Jülich) (163820)
  5. Lehrstuhl für Biotechnologie (162610)


Thematische Einordnung (Klassifikation)
DDC: 610

OpenAccess:
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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85126268192
WOS Core Collection: WOS:001084616000001

Interne Identnummern
RWTH-2022-04546
Datensatz-ID: 845285

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Faculty of Mathematics and Natural Sciences (Fac.1) > Department of Biology
Faculty of Mechanical Engineering (Fac.4)
Publication server / Open Access
Public records
Publications database
160000
416100
162610
163820
420410
 Record created 2022-05-03, last modified 2025-11-05
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