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Applied mathematics for the analysis of biomedical data : models, methods, and MATLAB / / Peter J. Costa
Applied mathematics for the analysis of biomedical data : models, methods, and MATLAB / / Peter J. Costa
Autore Costa Peter J.
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2017
Descrizione fisica 1 online resource (473 pages)
Disciplina 570.1/51
Soggetto topico Biomathematics
Bioinformatics - Mathematical models
Soggetto genere / forma Electronic books.
ISBN 1-119-26951-2
1-119-26950-4
1-119-26954-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996267132503316
Costa Peter J.  
Hoboken, New Jersey : , : Wiley, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Applied mathematics for the analysis of biomedical data : models, methods, and MATLAB / / Peter J. Costa
Applied mathematics for the analysis of biomedical data : models, methods, and MATLAB / / Peter J. Costa
Autore Costa Peter J.
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2017
Descrizione fisica 1 online resource (473 pages)
Disciplina 570.1/51
Collana THEi Wiley ebooks
Soggetto topico Biomathematics
Bioinformatics - Mathematical models
ISBN 1-119-26951-2
1-119-26950-4
1-119-26954-7
9781119269496
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data -- Some examples -- Seir models -- Statistical pattern recognition and classification -- Biostatistics and hypothesis testing -- Clustered data and analysis of variance.
Record Nr. UNINA-9910270866103321
Costa Peter J.  
Hoboken, New Jersey : , : Wiley, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied mathematics for the analysis of biomedical data : models, methods, and MATLAB / / Peter J. Costa
Applied mathematics for the analysis of biomedical data : models, methods, and MATLAB / / Peter J. Costa
Autore Costa Peter J.
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , 2017
Descrizione fisica 1 online resource (473 pages)
Disciplina 570.1/51
Collana THEi Wiley ebooks
Soggetto topico Biomathematics
Bioinformatics - Mathematical models
ISBN 1-119-26951-2
1-119-26950-4
1-119-26954-7
9781119269496
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data -- Some examples -- Seir models -- Statistical pattern recognition and classification -- Biostatistics and hypothesis testing -- Clustered data and analysis of variance.
Record Nr. UNINA-9910812209003321
Costa Peter J.  
Hoboken, New Jersey : , : Wiley, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied Nonautonomous and Random Dynamical Systems [[electronic resource] ] : Applied Dynamical Systems / / by Tomás Caraballo, Xiaoying Han
Applied Nonautonomous and Random Dynamical Systems [[electronic resource] ] : Applied Dynamical Systems / / by Tomás Caraballo, Xiaoying Han
Autore Caraballo Tomás
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (115 pages) : illustrations
Disciplina 515.352
Collana SpringerBriefs in Mathematics
Soggetto topico Differential equations
Probabilities
Biomathematics
Applied mathematics
Engineering mathematics
Ordinary Differential Equations
Probability Theory and Stochastic Processes
Genetics and Population Dynamics
Applications of Mathematics
ISBN 3-319-49247-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Introduction -- 2 Autonomous dynamical systems. - 3 Nonautonomous dynamical systems -- 4 Random dynamical - References .
Record Nr. UNINA-9910163148203321
Caraballo Tomás  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence for Healthy Longevity [[electronic resource] /] / edited by Alexey Moskalev, Ilia Stambler, Alex Zhavoronkov
Artificial Intelligence for Healthy Longevity [[electronic resource] /] / edited by Alexey Moskalev, Ilia Stambler, Alex Zhavoronkov
Autore Moskalev Alexey
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (328 pages)
Disciplina 570.285
570.113
Altri autori (Persone) StamblerIlia
ZhavoronkovAlex
Collana Healthy Ageing and Longevity
Soggetto topico Bioinformatics
Biomathematics
Artificial intelligence
Computer simulation
Medical informatics
Computational and Systems Biology
Mathematical and Computational Biology
Artificial Intelligence
Computer Modelling
Health Informatics
ISBN 3-031-35176-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto AI in longevity -- Automated reporting of medical diagnostic imaging for early disease and aging biomarkers detection -- Risk forecasting tools based on the collected information for two types of occupational diseases -- Obtaining longevity footprints in DNA methylation data using different machine learning approaches -- The role of assistive technology in regulating the behavioural and psychological symptoms of dementia -- Epidemiology, genetics and epigenetics of Biological Aging: one or more aging systems? -- Temporal relation prediction from Electronic Health Records using Graph Neural Networks and Transformers Embeddings -- In silico screening of life-extending drugs using machine learning and omics data -- An overview of kernel methods for identifying genetic association with health-related traits -- Artificial Intelligence approaches for skin anti-aging and skin resilience research -- AI in genomics and epigenomics -- The utility of information theory based methods in the research of aging and longevity -- AI for Longevity: getting past the Mechanical Turk model will take Good Data -- Leveraging algorithmic and human networks to cure human aging: Holistic understanding of Longevity via Generative Cooperative Networks, Hybrid Bayesian/Neural/Logical AI and Tokenomics-Mediated Crowdsourcing. .
Record Nr. UNINA-9910734897003321
Moskalev Alexey  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Asymptotics of Elliptic and Parabolic PDEs [[electronic resource] ] : and their Applications in Statistical Physics, Computational Neuroscience, and Biophysics / / by David Holcman, Zeev Schuss
Asymptotics of Elliptic and Parabolic PDEs [[electronic resource] ] : and their Applications in Statistical Physics, Computational Neuroscience, and Biophysics / / by David Holcman, Zeev Schuss
Autore Holcman David
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XXIII, 444 p. 103 illus., 56 illus. in color.)
Disciplina 515.353
Collana Applied Mathematical Sciences
Soggetto topico Partial differential equations
Mathematical physics
Physics
Biomathematics
Biophysics
Biological physics
Partial Differential Equations
Mathematical Applications in the Physical Sciences
Numerical and Computational Physics, Simulation
Mathematical and Computational Biology
Mathematical Methods in Physics
Biological and Medical Physics, Biophysics
ISBN 3-319-76895-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I. Singular Perturbations of Elliptic Boundary Problems -- 1 Second-Order Elliptic Boundary Value Problems with a Small Leading Part -- 2 A Primer of Asymptotics for ODEs -- 3 Singular Perturbations in Higher Dimensions -- 4 Eigenvalues of a Non-self-adjoint Elliptic Operator -- 5 Short-time Asymptotics of the Heat Kernel -- Part II Mixed Boundary Conditions for Elliptic and Parabolic Equations -- 6 The Mixed Boundary Value Problem -- 7 THe Mixed Boundary Value Problem in R2 -- 8 Narrow Escape in R3 -- 9 Short-time Asymptotics of the Heat Kernel and Extreme Statistics of the NET -- 10 The Poisson–Nernst–Planck Equations in a Ball -- 11 Reconstruction of Surface Diffusion from Projected Data -- 12 Asymptotic Formulas in Molecular and Cellular Biology -- Bibliography -- Index.
Record Nr. UNINA-9910300108103321
Holcman David  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Basic Approach to Age-Structured Population Dynamics [[electronic resource] ] : Models, Methods and Numerics / / by Mimmo Iannelli, Fabio Milner
The Basic Approach to Age-Structured Population Dynamics [[electronic resource] ] : Models, Methods and Numerics / / by Mimmo Iannelli, Fabio Milner
Autore Iannelli Mimmo
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XII, 350 p. 77 illus., 20 illus. in color.)
Disciplina 576.58
577.88
Collana Lecture Notes on Mathematical Modelling in the Life Sciences
Soggetto topico Biomathematics
Applied mathematics
Engineering mathematics
Integral equations
Partial differential equations
Genetics and Population Dynamics
Applications of Mathematics
Integral Equations
Partial Differential Equations
ISBN 94-024-1146-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Why Age Structure? An Introduction -- 2 The Basic Linear Theory -- 3 Numerical Methods for the Linear Model -- 4 The Time-Dependent Case -- 5 Nonlinear Models -- 6 Stability of Equilibria -- 7 Numerical Methods for the Nonlinear Model -- 8 Global Behavior -- 9 Class-Age Structure for Epidemics -- 10 Epidemics and Demography -- A The Laplace Transform -- B Integral Equations Theory. References.
Record Nr. UNINA-9910254306903321
Iannelli Mimmo  
Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Basic principles of the tracer method : introduction to mathematical tracer kinetics / C. Sheppard
Basic principles of the tracer method : introduction to mathematical tracer kinetics / C. Sheppard
Autore Sheppard, C.
Pubbl/distr/stampa New York : John Wiley & Sons, 1962
Descrizione fisica 282 p. : ill. ; 24 cm.
Soggetto topico Biomathematics
Radioactive tracers in biology
Classificazione 53.9.78
574.10154138
QH652
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000834019707536
Sheppard, C.  
New York : John Wiley & Sons, 1962
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Bayesian Data Analysis for Animal Scientists [[electronic resource] ] : The Basics / / by Agustín Blasco
Bayesian Data Analysis for Animal Scientists [[electronic resource] ] : The Basics / / by Agustín Blasco
Autore Blasco Agustín
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVIII, 275 p. 62 illus., 57 illus. in color.)
Disciplina 519.542
Soggetto topico Agriculture
Veterinary medicine
Biomathematics
Animal genetics
Biostatistics
Veterinary Medicine/Veterinary Science
Mathematical and Computational Biology
Animal Genetics and Genomics
ISBN 3-319-54274-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword -- Notation -- 1. Do we understand classical statistics? -- 2. The Bayesian choice -- 3. Posterior distributions -- 4. MCMC -- 5. The “baby” model -- 6. The linear model. I. The “fixed” effects model -- 7. The linear model. II. The “mixed” model -- 8. A scope of the possibilities of Bayesian inference + MCMC -- 9. Prior information -- 10. Model choice -- Appendix -- References.
Record Nr. UNINA-9910253937203321
Blasco Agustín  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big Data Analytics in Genomics [[electronic resource] /] / edited by Ka-Chun Wong
Big Data Analytics in Genomics [[electronic resource] /] / edited by Ka-Chun Wong
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (VIII, 428 p. 70 illus., 58 illus. in color.)
Disciplina 570.285
Soggetto topico Bioinformatics
Data mining
Statistics 
Biomathematics
Computational Biology/Bioinformatics
Data Mining and Knowledge Discovery
Statistics for Life Sciences, Medicine, Health Sciences
Genetics and Population Dynamics
ISBN 9783319412795
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Statistical Methods for Integrative Analysis of Genomic Data -- Robust Methods for Expression Quantitative Trait Loci Mapping -- Causal Inference and Structure Learning of Genotype-Phenotype Networks using Genetic Variation -- Genomic Applications of the Neyman-Pearson Classification Paradigm -- Improving Re-annotation of Annotated Eukaryotic Genomes -- State-of-the-art in Smith-Waterman Protein Database Search -- A Survey of Computational Methods for Protein Function Prediction -- Genome Wide Mapping of Nucleosome Position and Histone Code Polymorphisms in Yeast -- Perspectives of Machine Learning Techniques in Big Data Mining of Cancer -- Mining Massive Genomic Data for Therapeutic Biomarker Discovery in Cancer: Resources, Tools, and Algorithms -- NGC Analysis of Somatic Mutations in Cancer Genomes -- OncoMiner: A Pipeline for Bioinformatics Analysis of Exonic Sequence Variants in Cancer -- A Bioinformatics Approach for Understanding Genotype-Phenotype Correlation in Breast Cancer.
Record Nr. UNINA-9910148856803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui