Uncertainty in biology: a computational modeling approach
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[Cham]
Springer
2016
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| Schriftenreihe: | Studies in mechanobiology, tissue engineering and biomaterials
volume 17 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 UER01 URL des Erstveröffentlichers Inhaltsverzeichnis Abstract |
| Beschreibung: | 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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| discipline | Medizin |
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| language | English |
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| series | Studies in mechanobiology, tissue engineering and biomaterials |
| 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 |
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