ISBN: 9781494600303 - mathematics and the mysterious genetic code (11 risultati)

Perfeziona la tua ricerca

  • Libri (11)

  • Nuovo (11)

a

Fascia di prezzo personalizzata (EUR)

a

  • Lingua: Inglese

    Editore: Academus Publishing, Inc. 7/25/2026, 2026

    1494600307 / 9781494600303

    • Brossura

    Da: BargainBookStores, Grand Rapids, MI, U.S.A.BargainBookStores

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 32,70

     Spedizione gratuita 
    Spedito in U.S.A.

    Quantità: 5 disponibili

    Paperback or Softback. Condizione: New. Mathematics and the Mysterious Genetic Code. Book.

  • Lingua: Inglese

    Editore: Academus publishing, Inc., 2026

    1494600307 / 9781494600303

    • Brossura

    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 46,02

    EUR 12,00 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 2 disponibili

    Paperback. Condizione: Brand New. 252 pages. 6.00x0.53x9.00 inches. In Stock.

  • Lingua: Inglese

    Editore: Academus Publishing, Inc., 2026

    1494600307 / 9781494600303

    • Brossura
    • Print on Demand

    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 38,36

     Spedizione gratuita 
    Spedito in U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Mathematics and the Mysterious Genetic Code brings the tools of modern probability theory and mathematical statistics to one of the central problems of molecular biology: the analysis and recognition of the genetic code. Building on the Bayesian approach as a foundation for inductive inference, the author develops formal recognition procedures and applies them systematically to the study of biological sequences, the structure of DNA and RNA, and the reading frames generated by the code.The book opens by situating modern mathematics between its inductive and deductive traditions, drawing on the theory of algorithmic complexity and the work of Goedel, before turning to the recognition of complex biological systems in their deterministic, probabilistic, logical, structural, and intelligent forms. It then examines the structure of DNA and the genetic code in detail and shows how statistical analysis, principles of symmetry and harmony, and Markov-chain models illuminate the organization of genetic information. A central worked example demonstrates a Bayesian procedure for predicting the secondary structure of proteins on the basis of Boolean functions, together with an assessment of the reliability of recognition and classification procedures and the logical methods used to identify patterns in genetic data.Rigorous yet application-oriented, the book connects probability theory, statistical machine learning, bioinformatics, and genetics into a single line of reasoning about the mathematical structure underlying life. It is intended for researchers and graduate students in the biological and mathematical sciences, as well as for a broader readership interested in the deep connection between mathematics and the genetic code. This second edition consolidates and extends the author's approach. Applies probability theory and Bayesian inference to the analysis and recognition of the genetic code, with a worked method for predicting protein secondary structure from Boolean functions. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Academus Publishing, Inc., 2026

    1494600307 / 9781494600303

    • Brossura
    • Print on Demand

    Da: California Books, Miami, FL, U.S.A.California Books

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 36,00

    EUR 2,69 spedizione 
    Spedito in U.S.A.

    Quantità: Più di 20 disponibili

    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Academus publishing, Inc., 2026

    1494600307 / 9781494600303

    • Brossura
    • Print on Demand

    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 38,96

     Spedizione gratuita 
    Spedito in U.S.A.

    Quantità: Più di 20 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: Academus publishing, Inc., 2026

    1494600307 / 9781494600303

    • Brossura
    • Print on Demand

    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 36,30

    EUR 4,99 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: Più di 20 disponibili

    PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Lingua: Inglese

    Editore: Academus Publishing, Inc. Jul 2026, 2026

    1494600307 / 9781494600303

    • Brossura
    • Print on Demand

    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 42,30

    EUR 23,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mathematics and the Mysterious Genetic Code brings the tools of modern probability theory and mathematical statistics to one of the central problems of molecular biology: the analysis and recognition of the genetic code. Building on the Bayesian approach as a foundation for inductive inference, the author develops formal recognition procedures and applies them systematically to the study of biological sequences, the structure of DNA and RNA, and the reading frames generated by the code.The book opens by situating modern mathematics between its inductive and deductive traditions, drawing on the theory of algorithmic complexity and the work of Gödel, before turning to the recognition of complex biological systems in their deterministic, probabilistic, logical, structural, and intelligent forms. It then examines the structure of DNA and the genetic code in detail and shows how statistical analysis, principles of symmetry and harmony, and Markov-chain models illuminate the organization of genetic information. A central worked example demonstrates a Bayesian procedure for predicting the secondary structure of proteins on the basis of Boolean functions, together with an assessment of the reliability of recognition and classification procedures and the logical methods used to identify patterns in genetic data.Rigorous yet application-oriented, the book connects probability theory, statistical machine learning, bioinformatics, and genetics into a single line of reasoning about the mathematical structure underlying life. It is intended for researchers and graduate students in the biological and mathematical sciences, as well as for a broader readership interested in the deep connection between mathematics and the genetic code. This second edition consolidates and extends the author's approach. 252 pp. Englisch.…

  • Lingua: Inglese

    Editore: Academus Publishing, Inc., 2026

    1494600307 / 9781494600303

    • Brossura
    • Print on Demand

    Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 46,68

    EUR 33,16 spedizione 
    Spedito da Australia a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Mathematics and the Mysterious Genetic Code brings the tools of modern probability theory and mathematical statistics to one of the central problems of molecular biology: the analysis and recognition of the genetic code. Building on the Bayesian approach as a foundation for inductive inference, the author develops formal recognition procedures and applies them systematically to the study of biological sequences, the structure of DNA and RNA, and the reading frames generated by the code.The book opens by situating modern mathematics between its inductive and deductive traditions, drawing on the theory of algorithmic complexity and the work of Goedel, before turning to the recognition of complex biological systems in their deterministic, probabilistic, logical, structural, and intelligent forms. It then examines the structure of DNA and the genetic code in detail and shows how statistical analysis, principles of symmetry and harmony, and Markov-chain models illuminate the organization of genetic information. A central worked example demonstrates a Bayesian procedure for predicting the secondary structure of proteins on the basis of Boolean functions, together with an assessment of the reliability of recognition and classification procedures and the logical methods used to identify patterns in genetic data.Rigorous yet application-oriented, the book connects probability theory, statistical machine learning, bioinformatics, and genetics into a single line of reasoning about the mathematical structure underlying life. It is intended for researchers and graduate students in the biological and mathematical sciences, as well as for a broader readership interested in the deep connection between mathematics and the genetic code. This second edition consolidates and extends the author's approach. Applies probability theory and Bayesian inference to the analysis and recognition of the genetic code, with a worked method for predicting protein secondary structure from Boolean functions. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

  • Lingua: Inglese

    Editore: Academus Publishing, Inc., 2026

    1494600307 / 9781494600303

    • Brossura
    • Print on Demand

    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 40,77

    EUR 44,40 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: new. Paperback. Mathematics and the Mysterious Genetic Code brings the tools of modern probability theory and mathematical statistics to one of the central problems of molecular biology: the analysis and recognition of the genetic code. Building on the Bayesian approach as a foundation for inductive inference, the author develops formal recognition procedures and applies them systematically to the study of biological sequences, the structure of DNA and RNA, and the reading frames generated by the code.The book opens by situating modern mathematics between its inductive and deductive traditions, drawing on the theory of algorithmic complexity and the work of Goedel, before turning to the recognition of complex biological systems in their deterministic, probabilistic, logical, structural, and intelligent forms. It then examines the structure of DNA and the genetic code in detail and shows how statistical analysis, principles of symmetry and harmony, and Markov-chain models illuminate the organization of genetic information. A central worked example demonstrates a Bayesian procedure for predicting the secondary structure of proteins on the basis of Boolean functions, together with an assessment of the reliability of recognition and classification procedures and the logical methods used to identify patterns in genetic data.Rigorous yet application-oriented, the book connects probability theory, statistical machine learning, bioinformatics, and genetics into a single line of reasoning about the mathematical structure underlying life. It is intended for researchers and graduate students in the biological and mathematical sciences, as well as for a broader readership interested in the deep connection between mathematics and the genetic code. This second edition consolidates and extends the author's approach. Applies probability theory and Bayesian inference to the analysis and recognition of the genetic code, with a worked method for predicting protein secondary structure from Boolean functions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

  • Lingua: Inglese

    Editore: Academus Publishing, Inc., 2026

    1494600307 / 9781494600303

    • Brossura
    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 54,07

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mathematics and the Mysterious Genetic Code brings the tools of modern probability theory and mathematical statistics to one of the central problems of molecular biology: the analysis and recognition of the genetic code. Building on the Bayesian approach as a foundation for inductive inference, the author develops formal recognition procedures and applies them systematically to the study of biological sequences, the structure of DNA and RNA, and the reading frames generated by the code.The book opens by situating modern mathematics between its inductive and deductive traditions, drawing on the theory of algorithmic complexity and the work of Gödel, before turning to the recognition of complex biological systems in their deterministic, probabilistic, logical, structural, and intelligent forms. It then examines the structure of DNA and the genetic code in detail and shows how statistical analysis, principles of symmetry and harmony, and Markov-chain models illuminate the organization of genetic information. A central worked example demonstrates a Bayesian procedure for predicting the secondary structure of proteins on the basis of Boolean functions, together with an assessment of the reliability of recognition and classification procedures and the logical methods used to identify patterns in genetic data.Rigorous yet application-oriented, the book connects probability theory, statistical machine learning, bioinformatics, and genetics into a single line of reasoning about the mathematical structure underlying life. It is intended for researchers and graduate students in the biological and mathematical sciences, as well as for a broader readership interested in the deep connection between mathematics and the genetic code. This second edition consolidates and extends the author's approach.…

  • Lingua: Inglese

    Editore: Academus publishing, Inc., 2026

    1494600307 / 9781494600303

    • Brossura
    • Print on Demand

    Da: preigu, Osnabrück, Germaniapreigu

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 42,15

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

    Taschenbuch. Condizione: Neu. Mathematics and the Mysterious Genetic Code | Vitaly Gupal | Taschenbuch | Englisch | 2026 | Academus publishing, Inc. | EAN 9781494600303 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…