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Dynamical Models of Biology and Medicine
| Dynamical Models of Biology and Medicine |
| Autore | Kuang Yang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (294 p.) |
| Soggetto non controllato |
predator-prey model
uncertainty quantification identification of DNA-binding proteins chemostat numerical characterization differential equations uniform persistence spotting 2-combination wildfire chronic myeloid leukemia combination therapy liquid-solid-porous media seepage coupling dynamic model obesity epidermis articular cartilage androgen deprivation therapy quorum sensing mechano-electrochemical model bifurcations bacterial competition global stability cartilage degeneration flocculation dynamical system transport equations bootstrapping stationary distribution algae growth models hemodynamic model delay Raphidocelis subcapitata cartilage loading Daphnia magna cell-based vector switched harvest hepatitis B rich dynamics spotting distribution asymptotic theory tyrosine kinase inhibitors phylogenetic analysis immune response microcirculation load graphical representation intraguild predation numerical simulation bacterial inflammation data fitting immunomodulatory therapies drug therapy delay differential equations (DDE) global asymptotic stability model comparison tests optimal control generalized pseudo amino acid composition random perturbations limit cycle prostate cancer mathematical model mathematical modeling persistence equilibrium points |
| ISBN | 3-03921-218-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367757303321 |
Kuang Yang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hidden Markov processes : theory and applications to biology / / M. Vidyasagar
| Hidden Markov processes : theory and applications to biology / / M. Vidyasagar |
| Autore | Vidyasagar M (Mathukumalli), <1947-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, New Jersey ; ; Oxford, England : , : Princeton University Press, , 2014 |
| Descrizione fisica | 1 online resource (303 p.) |
| Disciplina | 570.285 |
| Collana | Princeton Series in Applied Mathematics |
| Soggetto topico |
Computational biology
Markov processes |
| Soggetto non controllato |
BLAST theory
BaumЗelch algorithm Bayes' rule Cramr's theorem GENSCAN algorithm GLIMMER algorithm Hankel matrix Hankel rank condition Hoeffding's inequality KullbackЌeibler divergence Markov chain Markov process Markov property Monte Carlo simulation PerronІrobenius theorem Probability theory Sanov's theorem Viterbi algorithm alignment alpha-mixing process amino acids canonical form complete realization problem computational biology concave function conditional entropy convex function entropy function entropy ergodicity expected value finite alphabet gene-finding problem genomics hidden Markov model hidden Markov processes hitting probability information theory irreducible matrices large deviation property large deviation theory likelihood estimation likelihood lower semi-continuous function lower semi-continuous relaxation maximal segmental score maximum likelihood estimate mean hitting time moment generating function nonnegative matrices nucleotide optimal gapped alignment periodic irreducible matrices post-genomic biology primitive matrices probability distribution probability protein classification proteomics quasi-realization random variable rate function recurrent state relative entropy rate relative entropy sequence alignment sequence state transition matrix stationary distribution total variation distance transient state ultra-mixing process |
| ISBN | 1-4008-5051-7 |
| Classificazione | SK 820 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Preface -- PART 1. Preliminaries -- Chapter One. Introduction to Probability and Random Variables -- Chapter Two. Introduction to Information Theory -- Chapter Three. Nonnegative Matrices -- PART 2. Hidden Markov Processes -- Chapter Four. Markov Processes -- Chapter Five. Introduction to Large Deviation Theory -- Chapter Six. Hidden Markov Processes: Basic Properties -- Chapter Seven. Hidden Markov Processes: The Complete Realization Problem -- PART 3. Applications to Biology -- Chapter Eight. Some Applications to Computational Biology -- Chapter Nine. BLAST Theory -- Bibliography -- Index -- Back matter |
| Record Nr. | UNINA-9910786777403321 |
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Vidyasagar M (Mathukumalli), <1947->
|
||
| Princeton, New Jersey ; ; Oxford, England : , : Princeton University Press, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hidden Markov processes : theory and applications to biology / / M. Vidyasagar
| Hidden Markov processes : theory and applications to biology / / M. Vidyasagar |
| Autore | Vidyasagar M (Mathukumalli), <1947-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, New Jersey ; ; Oxford, England : , : Princeton University Press, , 2014 |
| Descrizione fisica | 1 online resource (303 p.) |
| Disciplina | 570.285 |
| Collana | Princeton Series in Applied Mathematics |
| Soggetto topico |
Computational biology
Markov processes |
| Soggetto non controllato |
BLAST theory
BaumЗelch algorithm Bayes' rule Cramr's theorem GENSCAN algorithm GLIMMER algorithm Hankel matrix Hankel rank condition Hoeffding's inequality KullbackЌeibler divergence Markov chain Markov process Markov property Monte Carlo simulation PerronІrobenius theorem Probability theory Sanov's theorem Viterbi algorithm alignment alpha-mixing process amino acids canonical form complete realization problem computational biology concave function conditional entropy convex function entropy function entropy ergodicity expected value finite alphabet gene-finding problem genomics hidden Markov model hidden Markov processes hitting probability information theory irreducible matrices large deviation property large deviation theory likelihood estimation likelihood lower semi-continuous function lower semi-continuous relaxation maximal segmental score maximum likelihood estimate mean hitting time moment generating function nonnegative matrices nucleotide optimal gapped alignment periodic irreducible matrices post-genomic biology primitive matrices probability distribution probability protein classification proteomics quasi-realization random variable rate function recurrent state relative entropy rate relative entropy sequence alignment sequence state transition matrix stationary distribution total variation distance transient state ultra-mixing process |
| ISBN | 1-4008-5051-7 |
| Classificazione | SK 820 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Preface -- PART 1. Preliminaries -- Chapter One. Introduction to Probability and Random Variables -- Chapter Two. Introduction to Information Theory -- Chapter Three. Nonnegative Matrices -- PART 2. Hidden Markov Processes -- Chapter Four. Markov Processes -- Chapter Five. Introduction to Large Deviation Theory -- Chapter Six. Hidden Markov Processes: Basic Properties -- Chapter Seven. Hidden Markov Processes: The Complete Realization Problem -- PART 3. Applications to Biology -- Chapter Eight. Some Applications to Computational Biology -- Chapter Nine. BLAST Theory -- Bibliography -- Index -- Back matter |
| Record Nr. | UNINA-9910828783803321 |
|
Vidyasagar M (Mathukumalli), <1947->
|
||
| Princeton, New Jersey ; ; Oxford, England : , : Princeton University Press, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||