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Data Mining in Drug Discovery

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Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine. Clearly divided into four sections, the first part discusses the different data sources available, both commercial and non-commercial, while the next section looks at the role and value of data mining in drug discovery. The third part compares the most common applications and strategies for polypharmacology, where data mining can substantially enhance the research effort. The final section of the book is devoted to systems biology approaches for compound testing.

Throughout the book, industrial and academic drug discovery strategies are addressed, with contributors coming from both areas, enabling an informed decision on when and which data mining tools to use for one's own drug discovery project.

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TCP/IP Protocol Suite (Mcgraw-hill Forouzan Networking)
TCP/IP Protocol Suite (Mcgraw-hill Forouzan Networking)

In a world where the number of people who need to learn about data communications and networking is exploding, Forouzan's book is the answer. The book's visual approach makes it easy for students to learn about and understand the concepts involved in this rapidly developing field.

TCP/IP Protocol Suite teaches students and...

Data Mining for Bioinformatics
Data Mining for Bioinformatics

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining...

Using R for Data Management, Statistical Analysis, and Graphics
Using R for Data Management, Statistical Analysis, and Graphics

Quick and Easy Access to Key Elements of Documentation
Includes worked examples across a wide variety of applications, tasks, and graphics

Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to...


DevOps Troubleshooting: Linux Server Best Practices
DevOps Troubleshooting: Linux Server Best Practices

“If you’re a developer trying to figure out why your application is not responding at 3 am, you need this book! This is now my go-to book when diagnosing production issues. It has saved me hours in troubleshooting complicated operations problems.”

Trotter Cashion,...

Information Retrieval and Mining in Distributed Environments (Studies in Computational Intelligence)
Information Retrieval and Mining in Distributed Environments (Studies in Computational Intelligence)

At DART'09, held in conjunction with the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2009) and Intelligent Agent Technology (IAT 2009) in Milan (Italy), practitioners and researchers working on pervasive and intelligent access to web services and distributed information retrieval met to compare their work ad...

Data Mining with Decision Trees: Theroy and Applications (Machine Perception and Artificial Intelligence)
Data Mining with Decision Trees: Theroy and Applications (Machine Perception and Artificial Intelligence)

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique.Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in...

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