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Chinese Course 3B (аудиокурс на 2 CD) enhancing the tourist industry through light

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Altogether there are three volumes, each of which is divided into two...

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Ekins Sean Pharmaceutical Data Mining. Approaches and Applications for Drug Discovery enhancing the tourist industry through light

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Leading experts illustrate how sophisticated computational data mining...

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Mohamed El-Erian The Little Book of Economics. How the Economy Works in the Real World enhancing the tourist industry through light

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Gysbers Norman C. Developing and Managing Your School Guidance and Counseling Program enhancing the tourist industry through light

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Howard Phillips Lovecraft Through the Gates of the Silver Key enhancing the tourist industry through light

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The Rough Guide to Tuscany & Umbria enhancing the tourist industry through light

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Coffee Obsession enhancing the tourist industry through light

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Для информации:

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 challenges 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 discovery—including 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 applications Chemoinformatics-based applications Bioinformatics-based applications Data mining methods in clinical development Data 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.