Accelerating Discovery

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Unstructured Mining Approaches to Solve Complex Scientific ProblemsAs the volume of scientific data and literature increases exponentially, scientists need more powerful tools and methods to process and synthesize information and to formulate new hypotheses that are most likely to be both true and important. Accelerating Discovery: Mining Unstructu

Table of contents

Front Cover
Chapter 1: Introduction
Chapter 2: Why Accelerate Discovery?
Chapter 3: Form and Function
Chapter 4: Exploring Content to Find Entities
Chapter 5: Organization
Chapter 6: Relationships
Chapter 7: Inference
Chapter 8: Taxonomies
Chapter 9: Orthogonal Comparison
Chapter 10: Visualizing the Data Plane
Chapter 11: Networks
Chapter 12: Examples and Problems
Chapter 13: Problem: Discovery of Novel Properties of Known Entities
Chapter 14: Problem: Finding New Treatments for Orphan Diseases from Existing Drugs
Chapter 15: Example: Target Selection Based on Protein Network Analysis
Chapter 16: Example: Gene Expression Analysis for Alternative Indications
Chapter 17: Example: Side Effects
Chapter 18: Example: Protein Viscosity Analysis Using Medline Abstracts
Chapter 19: Example: Finding Microbes to Clean Up Oil Spills
Chapter 20: Example: Drug Repurposing
Chapter 21: Example: Adverse Events
Chapter 22: Example: P53 Kinases
Chapter 23: Conclusion and Future Work
Back Cover

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