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Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques

Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques

Copyright: © 2011 |Pages: 418
ISBN13: 9781615209118|ISBN10: 1615209115|EISBN13: 9781615209125
DOI: 10.4018/978-1-61520-911-8
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MLA

Lodhi, Huma, and Yoshihiro Yamanishi, editors. Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques. IGI Global, 2011. https://doi.org/10.4018/978-1-61520-911-8

APA

Lodhi, H. & Yamanishi, Y. (Eds.). (2011). Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques. IGI Global. https://doi.org/10.4018/978-1-61520-911-8

Chicago

Lodhi, Huma, and Yoshihiro Yamanishi, eds. Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61520-911-8

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Chemoinformatics is a scientific area that endeavours to study and solve complex chemical problems using computational techniques and methods.

Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques provides an overview of current research in machine learning and applications to chemoinformatics tasks. As a timely compendium of research, this book offers perspectives on key elements that are crucial for complex study and investigation.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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List of Reviewers
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Preface
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Acknowledgment
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Chapters
Chapter 1
Similarity Design in Chemical Space
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Graph-Based Approaches in Chemoinformatics
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Statistical and Bayesian Approaches for Virtual Screening
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Machine Learning Approaches for Drug Discovery, Toxicology, and Biological Systems
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Machine Learning Approaches for Chemical Genomics
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Back Materials
Compilation of References
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About the Contributors
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Index
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