Smart Mining of Drug Discovery Information: 1

نویسندگان

  • Xiao Dong
  • Kevin Gilbert
  • Rajarshi Guha
  • Jungkee Kim
  • Marlon Pierce
  • Geoffrey C. Fox
  • David J. Wild
چکیده

The vast increase of pertinent information available to drug discovery scientists means that there is strong demand for tools and techniques for organizing and intelligently mining this information for manageable human consumption. At Indiana University, we are developing techniques for “smart mining” of this information, based on web services, workflows, and a variety of client interfaces. In this paper, we introduce our model and describe how workflows of web services can be used to achieve the first steps of this vision, including bridging chemical and biological information.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Employing data mining to explore association rules in drug addicts

Drug addiction is a major social, economic, and hygienic challenge that impacts on all the community and needs serious threat. Available treatments are successful only in short-term unless underlying reasons making individuals prone to the phenomenon are not investigated. Nowadays, there are some treatment centers which have comprehensive information about addicted people. Therefore, given the ...

متن کامل

Survey on Perception of People Regarding Utilization of Computer Science & Information Technology in Manipulation of Big Data, Disease Detection & Drug Discovery

this research explores the manipulation of biomedical big data and diseases detection using automated computing mechanisms. As efficient and cost effective way to discover disease and drug is important for a society so computer aided automated system is a must. This paper aims to understand the importance of computer aided automated system among the people. The analysis result from collected da...

متن کامل

Application of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)

Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...

متن کامل

Designing a smart algorithm for determining stock exchange signals by data mining

One of the most important problems in modern finance is finding efficient ways to summarize and visualize the stock exchange market. This research proposes a smart algorithm by means of valuable big data that is generated by stock exchange market and different kinds of methodology to present a smart model.In this paper, we investigate relationships between the data and access to their lat...

متن کامل

Identification of Fraud in Banking Data and Financial Institutions Using Classification Algorithms

In recent years, due to the expansion of financial institutions,as well as the popularity of the World Wide Weband e-commerce, a significant increase in the volume offinancial transactions observed. In addition to the increasein turnover, a huge increase in the number of fraud by user’sabnormality is resulting in billions of dollars in lossesover the world. T...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007