Saha supriyo (9 risultati)

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    • Lingua: Inglese

      Editore: Scholars' Press, 2017

      3330652144 / 9783330652149

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      Da: Books Puddle, New York, NY, U.S.A.Books Puddle

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      EUR 93,04

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      Condizione: New.

    • Lingua: Inglese

      Editore: Scholars' Press, 2017

      3330652144 / 9783330652149

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      Da: preigu, Osnabrück, Germaniapreigu

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      EUR 51,80

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      Taschenbuch. Condizione: Neu. Mathematical Chemistry - An Emerging Field of Drug Discovery | Supriyo Saha (u. a.) | Taschenbuch | 108 S. | Englisch | 2017 | Scholars' Press | EAN 9783330652149 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

    • Lingua: Inglese

      Editore: Scholars' Press, 2017

      3330652144 / 9783330652149

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      Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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      EUR 122,62

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      Quantità: 1 disponibili

      Paperback. Condizione: Brand New. 108 pages. 8.66x5.91x0.25 inches. In Stock.

    • Lingua: Inglese

      Editore: Scholars' Press Mai 2017, 2017

      3330652144 / 9783330652149

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

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      EUR 59,90

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mathematical Chemistry is the way to introduce mathematics in the world of chemistry. When we think to develop a drug molecule with higher activity and lower adverse effect, we depend upon chemical graph theory, and when we want to understand the nature of CNS-acting drug we must understand artificial neural network of brain, density functional theorem helps to understand electronic nature of a molecule and the classical fluid theory, electronic wave function by Schrodinger equation. By the use of statistical regression study as KNN, PLS, PCR, we can understand the data interpretation, also projected a linear regression model between the predicted and observed variable in a new space and used to dilute the multicollinearity problem; PCR can apply in this situation by excluding low-variance principal components in the regression step respectively. Also the use of quantum mechanics, molecular biology along with mathematical explanations one can quantify the nature of receptor, biological variation along with chemical structure. Finally, by using QSAR, QSPR and various effects of descriptor analysis and applicability domain analysis with data integrity. 108 pp. Englisch.

    • Lingua: Inglese

      Editore: Scholars' Press, 2017

      3330652144 / 9783330652149

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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      EUR 93,50

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      Condizione: New. Print on Demand.

    • Lingua: Inglese

      Editore: Scholars\' Press, 2017

      3330652144 / 9783330652149

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      Da: moluna, Greven, Germaniamoluna

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      EUR 49,17

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saha SupriyoI am Supriyo Saha, Assistant Professor, SBSPGI, Dehradun, India and I Dilipkumar Pal, Associate Professor, Central University, INDIA. In this book, we emphasize on Graph Theory, Density Functional Theory, ANN, KNN, PLS, P.

    • Lingua: Inglese

      Editore: Scholars' Press, 2017

      3330652144 / 9783330652149

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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      EUR 95,73

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      Condizione: New. PRINT ON DEMAND.

    • Lingua: Inglese

      Editore: Scholars' Press Mai 2017, 2017

      3330652144 / 9783330652149

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      EUR 59,90

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Mathematical Chemistry is the way to introduce mathematics in the world of chemistry. When we think to develop a drug molecule with higher activity and lower adverse effect, we depend upon chemical graph theory, and when we want to understand the nature of CNS-acting drug we must understand artificial neural network of brain, density functional theorem helps to understand electronic nature of a molecule and the classical fluid theory, electronic wave function by Schrodinger equation. By the use of statistical regression study as KNN, PLS, PCR, we can understand the data interpretation, also projected a linear regression model between the predicted and observed variable in a new space and used to dilute the multicollinearity problem; PCR can apply in this situation by excluding low-variance principal components in the regression step respectively. Also the use of quantum mechanics, molecular biology along with mathematical explanations one can quantify the nature of receptor, biological variation along with chemical structure. Finally, by using QSAR, QSPR and various effects of descriptor analysis and applicability domain analysis with data integrity.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.

    • Lingua: Inglese

      Editore: Scholars' Press, 2017

      3330652144 / 9783330652149

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

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      EUR 59,90

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      Quantità: 1 disponibili

      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mathematical Chemistry is the way to introduce mathematics in the world of chemistry. When we think to develop a drug molecule with higher activity and lower adverse effect, we depend upon chemical graph theory, and when we want to understand the nature of CNS-acting drug we must understand artificial neural network of brain, density functional theorem helps to understand electronic nature of a molecule and the classical fluid theory, electronic wave function by Schrodinger equation. By the use of statistical regression study as KNN, PLS, PCR, we can understand the data interpretation, also projected a linear regression model between the predicted and observed variable in a new space and used to dilute the multicollinearity problem; PCR can apply in this situation by excluding low-variance principal components in the regression step respectively. Also the use of quantum mechanics, molecular biology along with mathematical explanations one can quantify the nature of receptor, biological variation along with chemical structure. Finally, by using QSAR, QSPR and various effects of descriptor analysis and applicability domain analysis with data integrity.