Holdings: Uncertainty in biology

Uncertainty in biology: a computational modeling approach

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Bibliographic Details
Other Authors:	Geris, Liesbet (Editor), Gómez-Cabrero, David (Editor)
Format:	Electronic eBook
Language:	English
Published:	[Cham] Springer 2016
Series:	Studies in mechanobiology, tissue engineering and biomaterials volume 17
Subjects:	Engineering Bioinformatics Computational biology Computer mathematics Biomedical engineering Biomedical Engineering Computational Science and Engineering Computer Appl. in Life Sciences Ingenieurwissenschaften
Online Access:	BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 UER01 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online Ressource
ISBN:	9783319212968
DOI:	10.1007/978-3-319-21296-8

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adam_text	UNCERTAINTY IN BIOLOGY / : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS AN INTRODUCTION TO UNCERTAINTY IN THE DEVELOPMENT OF COMPUTATIONAL MODELS OF BIOLOGICAL PROCESSES REVERSE ENGINEERING UNDER UNCERTAINTY PROBABILISTIC COMPUTATIONAL CAUSAL DISCOVERY FOR SYSTEMS BIOLOGY MACROSCOPIC SIMULATION OF INDIVIDUAL-BASED STOCHASTIC MODELS FOR BIOLOGICAL PROCESSES THE EXPERIMENTAL SIDE OF PARAMETER ESTIMATION STATISTICAL DATA ANALYSIS AND MODELING OPTIMIZATION IN BIOLOGY: PARAMETER ESTIMATION AND THE ASSOCIATED OPTIMIZATION PROBLEM INTERVAL METHODS MODEL EXTENSION AND MODEL SELECTION BAYESIAN MODEL SELECTION METHODS AND THEIR APPLICATION TO BIOLOGICAL ODE SYSTEMS SLOPPINESS AND THE GEOMETRY OF PARAMETER SPACE MODELING AND MODEL SIMPLIFICATION TO FACILITATE BIOLOGICAL INSIGHTS AND PREDICTIONS SENSITIVITY ANALYSIS BY DESIGN OF EXPERIMENTS WAVES IN SPATIALLY-DISORDERED NEURAL FIELDS: A CASE STUDY IN UNCERTAINTY QUANTIFICATION X IN-SILICO MODELS OF TRABECULAR BONE: A SENSITIVITY ANALYSIS PERSPECTIVE NEUROSWARM: A METHODOLOGY TO EXPLORE THE CONSTRAINTS THAT FUNCTION IMPOSES ON SIMULATION PARAMETERS IN LARGE-SCALE NETWORKS OF BIOLOGICAL NEURONS PREDICTION UNCERTAINTY ESTIMATION DESPITE UNIDENTIFIABILITY: AN OVERVIEW OF RECENT DEVELOPMENTS COMPUTATIONAL MODELING UNDER UNCERTAINTY: CHALLENGES AND OPPORTUNITIES DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. UNCERTAINTY IN BIOLOGY / : 2016 ABSTRACT / INHALTSTEXT COMPUTATIONAL MODELING OF BIOMEDICAL PROCESSES IS GAINING MORE AND MORE WEIGHT IN THE CURRENT RESEARCH INTO THE ETIOLOGY OF BIOMEDICAL PROBLEMS AND POTENTIAL TREATMENT STRATEGIES. COMPUTATIONAL MODELING ALLOWS TO REDUCE, REFINE AND REPLACE ANIMAL EXPERIMENTATION AS WELL AS TO TRANSLATE FINDINGS OBTAINED IN THESE EXPERIMENTS TO THE HUMAN BACKGROUND. HOWEVER THESE BIOMEDICAL PROBLEMS ARE INHERENTLY COMPLEX WITH A MYRIAD OF INFLUENCING FACTORS, WHICH STRONGLY COMPLICATES THE MODEL BUILDING AND VALIDATION PROCESS. THIS BOOK WANTS TO ADDRESS FOUR MAIN ISSUES RELATED TO THE BUILDING AND VALIDATION OF COMPUTATIONAL MODELS OF BIOMEDICAL PROCESSES: MODELING ESTABLISHMENT UNDER UNCERTAINTY MODEL SELECTION AND PARAMETER FITTING SENSITIVITY ANALYSIS AND MODEL ADAPTATION MODEL PREDICTIONS UNDER UNCERTAINTY IN EACH OF THE ABOVEMENTIONED AREAS, THE BOOK DISCUSSES A NUMBER OF KEY-TECHNIQUES BY MEANS OF A GENERAL THEORETICAL DESCRIPTION FOLLOWED BY ONE OR MORE PRACTICAL EXAMPLES. THIS BOOK IS INTENDED FOR GRADUATE STUDENTS AND RESEARCHERS ACTIVE IN THE FIELD OF COMPUTATIONAL MODELING OF BIOMEDICAL PROCESSES WHO SEEK TO ACQUAINT THEMSELVES WITH THE DIFFERENT WAYS IN WHICH TO STUDY THE PARAMETER SPACE OF THEIR MODEL AS WELL AS ITS OVERALL BEHAVIOR DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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series2	Studies in mechanobiology, tissue engineering and biomaterials
spellingShingle	Uncertainty in biology a computational modeling approach Studies in mechanobiology, tissue engineering and biomaterials Engineering Bioinformatics Computational biology Computer mathematics Biomedical engineering Biomedical Engineering Computational Science and Engineering Computer Appl. in Life Sciences Ingenieurwissenschaften
title	Uncertainty in biology a computational modeling approach
title_auth	Uncertainty in biology a computational modeling approach
title_exact_search	Uncertainty in biology a computational modeling approach
title_full	Uncertainty in biology a computational modeling approach Liesbet Geris, David Gomez-Cabrero editors
title_fullStr	Uncertainty in biology a computational modeling approach Liesbet Geris, David Gomez-Cabrero editors
title_full_unstemmed	Uncertainty in biology a computational modeling approach Liesbet Geris, David Gomez-Cabrero editors
title_short	Uncertainty in biology
title_sort	uncertainty in biology a computational modeling approach
title_sub	a computational modeling approach
topic	Engineering Bioinformatics Computational biology Computer mathematics Biomedical engineering Biomedical Engineering Computational Science and Engineering Computer Appl. in Life Sciences Ingenieurwissenschaften
topic_facet	Engineering Bioinformatics Computational biology Computer mathematics Biomedical engineering Biomedical Engineering Computational Science and Engineering Computer Appl. in Life Sciences Ingenieurwissenschaften
url	https://doi.org/10.1007/978-3-319-21296-8 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028635219&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028635219&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV040754304
work_keys_str_mv	AT gerisliesbet uncertaintyinbiologyacomputationalmodelingapproach AT gomezcabrerodavid uncertaintyinbiologyacomputationalmodelingapproach

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