- 208 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
The First Book to Describe the Technical and Practical Elements of Chemical Text MiningExplores the development of chemical structure extraction capabilities and how to incorporate these technologies in daily research workFor scientific researchers, finding too much information on a subject, not finding enough information, or not being able&nb
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Yes, you can access Chemical Information Mining by Debra L. Banville in PDF and/or ePUB format, as well as other popular books in Computer Science & Pharmacology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Acknowledgments
- The Editor
- Contributors
- Part I Introduction to Information Mining for the Life Sciences
- Chapter 1 Illustrating the Power of Information in Life Science Research
- Chapter 2 Chemical Information Mining: A New Paradigm
- Part II Chemical Semantics
- Chapter 3 Automated Identification and Conversion of Chemical Names to Structure-Searchable Information
- Introduction
- Existing Structure Mining Tools And Projects
- The General Approach To Mining Chemical Structures In Chemical Texts
- Generating Chemical Structures From Chemical Names
- Spelling Correction And Treatment Of Punctuation
- Problems Associated With Assembling Chemical Structures
- Conclusions
- Notes And References
- Chapter 4 Identification of Chemical Images and Conversion to Structure-Searchable Information
- Introduction
- Projects
- Problem Overview
- Input Data
- Identification Of Chemical Images
- Key Steps In The Recognition Of Individual Structures
- Recognition Of Complex Objects
- Output Data
- Conclusion And Outlook
- References
- Chapter 5 Chemical Entity Formatting
- Chapter 6 Chemical XML Formatting
- Part III Trends in Chemical Information Mining
- Chapter 7 Linking Chemical and Biological Information with Natural Language Processing
- Fundamentals Of Nlp
- State Of Academic Research In Applying Nlp Techniques To Link Biological And Chemical Entities
- Unstructured Information Management Architecture (Uima)
- Navigation Tools For Nlp Linking Of Biological And Chemical Information
- Commercial Solutions For Nlp-Based Linking Of Biological And Chemical Information
- Summary And Conclusion
- Notes And References
- Chapter 8 Semantic Web
- Part IV Involving the Researchers and Closing the Loop
- Chapter 9 The Future of Searching for Chemical Information
- Chapter 10 Summary and Closing Statements
- Index