Publicado por Buffalo, NY: Intrepid Press, 1968
Librería: Philip Smith, Bookseller, Berkeley, CA, Estados Unidos de America
Original o primera edición
EUR 35,00
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Añadir al carritoSoft cover. Condición: Very Good. 1st edition. VG+. 4to, 74pp, stapled wrappers. Sharp copy of this 1968 issue of Allen De Loach's important underground literary magazine; includes sections on the Hungry Generation writers and on Bengali poets of the Kritibash Group. Unmarked copy with light spotting to edges. Not Signed.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 57,96
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Idioma: Inglés
Publicado por Nova Science Publishers Inc, 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 72,77
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Idioma: Inglés
Publicado por Nova Science Publishers Inc, US, 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 88,01
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Nova Science Publishers Inc, 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 89,55
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Idioma: Inglés
Publicado por Nova Science Publishers Inc, 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 84,65
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing Sep 2024, 2024
ISBN 10: 3031678400 ISBN 13: 9783031678400
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 42,79
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Añadir al carritoBuch. Condición: Neu. Neuware -This book provides an up-to-date overview of data driven and evidence-based empirical approaches in the efficient application of chemodescriptors and biodescriptors. Currently there is a steady increase in the use of data analytics and model-based decision support systems in basic and applied research in chemoinformatics, bioinformatics, pharmaceutical drug design, predictive toxicology, and computational biology. Since there are a plethora of modeling methods and a large number of chemodescriptors and biodescriptors available today, robust statistical and machine learning methods are applied throughout. In addition, the development of statistically robust predictive models in rank deficient cases using chemodescrip tors and biodescriptors is discussed. Readers are provided with an up-to-date overview of the theoretical background, calculation methods, and proper use of chemodescriptors and biodescriptors in model building, with special emphasis on computer-assisted organic synthesis, new drug discovery, hazard assessment of chemicals, and computational biology of emerging global pathogens. The book also discusses the applications of alignment-free sequence descriptors (AFSDs) in vaccine design and the characterization of emerging global pathogens such as the Zika virus and SARS-CoV-2. The utility of molecular fragment-based descriptors in building useful quantitative structure-activity relationship (Q)SAR) models is detailed as is the use of mathematical structural descriptors in chemical synthesis planning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, 2024
ISBN 10: 3031678400 ISBN 13: 9783031678400
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 42,79
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an up-to-date overview of data driven and evidence-based empirical approaches in the efficient application of chemodescriptors and biodescriptors. Currently there is a steady increase in the use of data analytics and model-based decision support systems in basic and applied research in chemoinformatics, bioinformatics, pharmaceutical drug design, predictive toxicology, and computational biology. Since there are a plethora of modeling methods and a large number of chemodescriptors and biodescriptors available today, robust statistical and machine learning methods are applied throughout. In addition, the development of statistically robust predictive models in rank deficient cases using chemodescrip tors and biodescriptors is discussed. Readers are provided with an up-to-date overview of the theoretical background, calculation methods, and proper use of chemodescriptors and biodescriptors in model building, with special emphasis on computer-assisted organic synthesis, new drug discovery, hazard assessment of chemicals, and computational biology of emerging global pathogens. The book also discusses the applications of alignment-free sequence descriptors (AFSDs) in vaccine design and the characterization of emerging global pathogens such as the Zika virus and SARS-CoV-2. The utility of molecular fragment-based descriptors in building useful quantitative structure-activity relationship (Q)SAR) models is detailed as is the use of mathematical structural descriptors in chemical synthesis planning.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 118,90
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 117,73
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Idioma: Inglés
Publicado por Nova Science Publishers, Inc, 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Librería: moluna, Greven, Alemania
EUR 73,06
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Añadir al carritoKartoniert / Broschiert. Condición: New.
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Idioma: Inglés
Publicado por Bentham Science Publishers, 2016
ISBN 10: 1681081989 ISBN 13: 9781681081984
Librería: Majestic Books, Hounslow, Reino Unido
EUR 134,29
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Añadir al carritoCondición: New. pp. 370.
Idioma: Inglés
Publicado por Bentham Science Publishers, 2016
ISBN 10: 1681080532 ISBN 13: 9781681080536
Librería: Majestic Books, Hounslow, Reino Unido
EUR 135,13
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Añadir al carritoCondición: New. pp. 344.
Idioma: Inglés
Publicado por Bentham Science Publishers, 2016
ISBN 10: 1681081989 ISBN 13: 9781681081984
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 141,85
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Añadir al carritoCondición: New. pp. 370.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 136,08
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Añadir al carritoPaperback. Condición: Brand New. 354 pages. 9.00x7.50x0.75 inches. In Stock.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 136,08
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Añadir al carritoPaperback. Condición: Brand New. 376 pages. 9.00x7.50x0.75 inches. In Stock.
Idioma: Inglés
Publicado por Bentham Science Publishers, 2016
ISBN 10: 1681080532 ISBN 13: 9781681080536
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 146,03
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Añadir al carritoCondición: New. pp. 344.
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Idioma: Inglés
Publicado por Nova Science Publishers Inc, US, 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Librería: Rarewaves.com UK, London, Reino Unido
EUR 80,30
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Bentham Science Publishers, 2016
ISBN 10: 1681081989 ISBN 13: 9781681081984
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 151,71
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Añadir al carritoCondición: New. pp. 370.
Idioma: Inglés
Publicado por Bentham Science Publishers, 2016
ISBN 10: 1681080532 ISBN 13: 9781681080536
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 153,61
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Añadir al carritoCondición: New. pp. 344.
Librería: ALLBOOKS1, Direk, SA, Australia
EUR 168,76
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Añadir al carritoBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Idioma: Inglés
Publicado por John Wiley and Sons Inc, US, 2012
ISBN 10: 0470195150 ISBN 13: 9780470195154
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 171,46
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Añadir al carritoHardback. Condición: New. Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exploring the application of machine learning techniques to various types of complex networks. Comprised of chapters written by internationally renowned researchers in the field of interdisciplinary network theory, the book presents current and classical methods to analyze networks statistically. Methods from machine learning, data mining, and information theory are strongly emphasized throughout. Real data sets are used to showcase the discussed methods and topics, which include: A survey of computational approaches to reconstruct and partition biological networksAn introduction to complex networks-measures, statistical properties, and modelsModeling for evolving biological networksThe structure of an evolving random bipartite graphDensity-based enumeration in structured dataHyponym extraction employing a weighted graph kernel Statistical and Machine Learning Approaches for Network Analysis is an excellent supplemental text for graduate-level, cross-disciplinary courses in applied discrete mathematics, bioinformatics, pattern recognition, and computer science. The book is also a valuable reference for researchers and practitioners in the fields of applied discrete mathematics, machine learning, data mining, and biostatistics.
EUR 134,48
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Añadir al carritoCondición: New. MATTHIAS DEHMER, PhD, is Head of the Institute for Bioinformatics and Trans- lational Research at the University for Health Sciences, Medical Informatics and Technology (Austria). He has written over 130 publications in his research areas, which include bio.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 175,29
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 1st edition. 344 pages. 9.13x6.48x0.96 inches. In Stock.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 196,22
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Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 206,10
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por NOVA SCIENCE PUBLISHERS INC (3/2019), 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Librería: BOOKIT!, Genève, Suiza
EUR 199,59
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Añadir al carritoCondición: Used: Like New. LIVRE A L?ETAT DE NEUF. EXPEDIE SOUS 3 JOURS OUVRES. NUMERO DE SUIVI COMMUNIQUE AVANT ENVOI, EMBALLAGE RENFORCE. EAN:9781536149708.
Idioma: Inglés
Publicado por John Wiley and Sons Inc, US, 2012
ISBN 10: 0470195150 ISBN 13: 9780470195154
Librería: Rarewaves.com UK, London, Reino Unido
EUR 163,06
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHardback. Condición: New. Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, the book uniquely sets itself apart from the current literature by exploring the application of machine learning techniques to various types of complex networks. Comprised of chapters written by internationally renowned researchers in the field of interdisciplinary network theory, the book presents current and classical methods to analyze networks statistically. Methods from machine learning, data mining, and information theory are strongly emphasized throughout. Real data sets are used to showcase the discussed methods and topics, which include: A survey of computational approaches to reconstruct and partition biological networksAn introduction to complex networks-measures, statistical properties, and modelsModeling for evolving biological networksThe structure of an evolving random bipartite graphDensity-based enumeration in structured dataHyponym extraction employing a weighted graph kernel Statistical and Machine Learning Approaches for Network Analysis is an excellent supplemental text for graduate-level, cross-disciplinary courses in applied discrete mathematics, bioinformatics, pattern recognition, and computer science. The book is also a valuable reference for researchers and practitioners in the fields of applied discrete mathematics, machine learning, data mining, and biostatistics.