Memorandum of Understanding Between The Office of Regulatory Affairs and The Center for Drug Evaluation and Research on the Pharmaceutical Inspectorate
Applied Data Mining for Business and Industry [Giudici Figini] Wiley 2nd Ed 2009
MEMORANDUM OF AGREEMENT BETWEEN THE OFFICE OF NEW DRUGS AND THE OFFICE OF SURVEILLANCE AND EPIDEMIOLOGY IN THE CENTER FOR DRUG EVALUATION AND RESEARCH
CASE PROJECTS IN DATA WAREHOUSING AND DATA MINING
Machine Learning and Data Mining: 19 Mining Text And Web Data
Data Mining With Excel 2007 And SQL Server 2008
CB Marketplace Data Csv Sort And Filter Club For Affiliates
Intelligent and Effective Heart Attack Prediction System Using Data Mining and Artificial Neural Network
Data Mining And Its Relevance
Course Design Document IS424: Data Mining and Business Analytics
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:
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.
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