Editore: Buffalo, NY: Intrepid Press, 1968
Da: Philip Smith, Bookseller, Berkeley, CA, U.S.A.
Prima edizione
Soft cover. Condizione: 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.
Lingua: Inglese
Editore: Nova Science Publishers Inc, 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 72,77
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Nova Science Publishers Inc, US, 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 88,00
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Nova Science Publishers Inc, 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Nova Science Publishers Inc, 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 84,64
Quantità: 2 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Sep 2024, 2024
ISBN 10: 3031678400 ISBN 13: 9783031678400
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 42,79
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Springer International Publishing, 2024
ISBN 10: 3031678400 ISBN 13: 9783031678400
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 42,79
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Nova Science Publishers, Inc, 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Da: moluna, Greven, Germania
EUR 73,06
Quantità: 2 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 123,05
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Bentham Science Publishers, 2016
ISBN 10: 1681081989 ISBN 13: 9781681081984
Da: Majestic Books, Hounslow, Regno Unito
EUR 134,27
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 370.
Lingua: Inglese
Editore: Bentham Science Publishers, 2016
ISBN 10: 1681080532 ISBN 13: 9781681080536
Da: Majestic Books, Hounslow, Regno Unito
EUR 135,12
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 344.
Lingua: Inglese
Editore: Bentham Science Publishers, 2016
ISBN 10: 1681081989 ISBN 13: 9781681081984
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 370.
Da: Revaluation Books, Exeter, Regno Unito
EUR 136,07
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 354 pages. 9.00x7.50x0.75 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 136,07
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Aggiungi al carrelloPaperback. Condizione: Brand New. 376 pages. 9.00x7.50x0.75 inches. In Stock.
Lingua: Inglese
Editore: Bentham Science Publishers, 2016
ISBN 10: 1681080532 ISBN 13: 9781681080536
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 344.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: Nova Science Publishers Inc, US, 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Da: Rarewaves.com UK, London, Regno Unito
EUR 80,27
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Bentham Science Publishers, 2016
ISBN 10: 1681081989 ISBN 13: 9781681081984
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 151,71
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 370.
Lingua: Inglese
Editore: Bentham Science Publishers, 2016
ISBN 10: 1681080532 ISBN 13: 9781681080536
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 153,61
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 344.
Da: ALLBOOKS1, Direk, SA, Australia
EUR 168,75
Quantità: 1 disponibili
Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2012
ISBN 10: 0470195150 ISBN 13: 9780470195154
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 171,45
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: 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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Aggiungi al carrelloCondizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 175,28
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 344 pages. 9.13x6.48x0.96 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 196,21
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: NOVA SCIENCE PUBLISHERS INC (3/2019), 2019
ISBN 10: 1536149705 ISBN 13: 9781536149708
Da: BOOKIT!, Genève, Svizzera
EUR 199,59
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Used: Like New. LIVRE A L?ETAT DE NEUF. EXPEDIE SOUS 3 JOURS OUVRES. NUMERO DE SUIVI COMMUNIQUE AVANT ENVOI, EMBALLAGE RENFORCE. EAN:9781536149708.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2012
ISBN 10: 0470195150 ISBN 13: 9780470195154
Da: Rarewaves.com UK, London, Regno Unito
EUR 163,06
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: 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.