9780470196083 - pharmaceutical data mining: approaches and applications for drug discovery: 7 (wiley series on technologies for the pharmaceutical industry) de balakin, konstantin v. (22 resultados)
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Condición: New. pp. xvi + 561 Index 1st Edition.
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Condición: New. pp. xvi + 561 Illus.
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Condición: New. pp. xvi + 561 Acknowledgements.
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Hardcover. Condición: new. Hardcover. Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challeng…es facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discoveryincluding chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applicationsChemoinformatics-based applicationsBioinformatics-based applicationsData mining methods in clinical developmentData mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries. Extracting and applying knowledge from chemical, biological, and clinical data is one of the biggest problems for the pharmaceutical industry. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condición: New. Extracting and applying knowledge from chemical, biological, and clinical data is one of the biggest problems for the pharmaceutical industry. Series Editor(s): Ekins, Sean. Series: Wiley Series on Technologies for the Pharmaceutical Industry. Num Pages: 562 pages, Illustrations. BIC Classification: MMG; TDCW. Ca…tegory: (P) Professional & Vocational. Dimension: 233 x 163 x 31. Weight in Grams: 912. . 2009. 1st Edition. Hardcover. . . . .
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Hardcover. Condición: new. Hardcover. Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challeng…es facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discoveryincluding chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applicationsChemoinformatics-based applicationsBioinformatics-based applicationsData mining methods in clinical developmentData mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries. Extracting and applying knowledge from chemical, biological, and clinical data is one of the biggest problems for the pharmaceutical industry. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Gebunden. Condición: New. Konstantin V. Balakin is Head of the Laboratory of Information Technology in Medicinal Chemistry at the Institute of Physiologically Active Compounds at the Russian Academy of Sciences. He is also Director of the scientific consortium Orchemed (Organic Ch.
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Condición: New. Extracting and applying knowledge from chemical, biological, and clinical data is one of the biggest problems for the pharmaceutical industry. Series Editor(s): Ekins, Sean. Series: Wiley Series on Technologies for the Pharmaceutical Industry. Num Pages: 562 pages, Illustrations. BIC Classification: MMG; TDCW. Ca…tegory: (P) Professional & Vocational. Dimension: 233 x 163 x 31. Weight in Grams: 912. . 2009. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Condición: New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested… if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condición: new. Hardcover. Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challeng…es facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discoveryincluding chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applicationsChemoinformatics-based applicationsBioinformatics-based applicationsData mining methods in clinical developmentData mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries. Extracting and applying knowledge from chemical, biological, and clinical data is one of the biggest problems for the pharmaceutical industry. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
