Methods in Computational Biology
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| Autore: |
Carlson Ross
|
| Titolo: |
Methods in Computational Biology
|
| Pubblicazione: | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica: | 1 electronic resource (214 p.) |
| Soggetto non controllato: | inosine |
| immune checkpoint inhibitor | |
| geometric singular perturbation theory | |
| simulation | |
| BioModels Database | |
| ADAR | |
| calcium current | |
| bifurcation analysis | |
| bacterial biofilms | |
| nonlinear dynamics | |
| explanatory model | |
| turning point bifurcation | |
| oscillator | |
| workflow | |
| bioreactor integrated modeling | |
| modeling methods | |
| elementary flux modes visualization | |
| multiscale systems biology | |
| evolutionary algorithm | |
| metabolic model | |
| differential evolution | |
| reduced-order model | |
| computational model | |
| gut microbiota dysbiosis | |
| canard-induced EADs | |
| computational biology | |
| metabolic modelling | |
| methods | |
| SREBP-2 | |
| mechanistic model | |
| systems modeling | |
| biological networks | |
| macromolecular composition | |
| provenance | |
| flux balance analysis | |
| immunotherapy | |
| compartmental modeling | |
| immuno-oncology | |
| metabolic network visualization | |
| mechanism | |
| bistable switch | |
| Clostridium difficile infection | |
| bioreactor operation optimization | |
| microRNA targeting | |
| CFD simulation | |
| biomass reaction | |
| RNA editing | |
| ordinary differential equation | |
| metabolic modeling | |
| mass-action networks | |
| hybrid model | |
| multiple time scales | |
| quantitative systems pharmacology (QSP) | |
| mathematical modeling | |
| microRNA | |
| cancer | |
| parameter optimization | |
| Hopf bifurcation | |
| breast | |
| Persona (resp. second.): | SauroHerbert |
| Sommario/riassunto: | Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections:•Reviews of Computational Methods•Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels•The Interface of Biotic and Abiotic Processes•Processing of Large Data Sets for Enhanced Analysis•Parameter Optimization and Measurement |
| Titolo autorizzato: | Methods in Computational Biology |
| ISBN: | 3-03921-164-1 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910346689103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |