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Knowledge Discovery in Academic Drug Discovery Programs: Opportunities and Challenges

机译:学术药物发现计划中的知识发现:机遇与挑战

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In United State several universities and research institutes including the national health institute (NIH) recently started programs aiming for drug discovery. With the initiatives, huge volumes of data have been collected and shared with public free of charge. Those initiatives provide an unprecedented opportunity for data miner and machine learner to study knowledge discovery problems associated with drug design. In this tutorial, the presenter will review the knowledge discovery and management needs in the drug discovery process. Latest methodology development, primarily those from data mining, machine learning, and statistical learning will be discussed.
机译:在美国,包括国家卫生研究所(NIH)在内的几所大学和研究机构最近启动了旨在发现药物的计划。通过这些举措,已经收集了大量数据,并免费与公众共享。这些举措为数据挖掘者和机器学习者研究与药物设计相关的知识发现问题提供了前所未有的机会。在本教程中,演示者将回顾药物发现过程中的知识发现和管理需求。将讨论最新的方法论开发,主要是来自数据挖掘,机器学习和统计学习的方法论。

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