Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery
eBook - ePub

Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery

Unveiling Biological Frontiers

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery

Unveiling Biological Frontiers

About this book

Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery: Unveiling Biological Frontiers introduces revolutionary techniques that merge artificial intelligence with graph-based methods to uncover complex biological networks. Through detailed examples and case studies, the book provides researchers and practitioners the essential tools to analyze molecular interactions, identify key biomarkers, and hasten the discovery of novel therapeutics. Chapters delve into the sophisticated interplay between advanced AI techniques and graph models, specially designed to decode the intricacies of biological systems. By utilizing cutting-edge AI algorithms, readers can explore complex biological networks, forecast molecular interactions, and pinpoint new drug targets with exceptional precision. - Offers an innovative approach by combining artificial intelligence with graph-based techniques to delve into complex biological networks - Includes practical examples and case studies, providing researchers and practitioners with the tools they need to analyze molecular interactions and identify crucial biomarkers - Enables researchers to predict molecular interactions and identify novel drug targets with unparalleled accuracy and efficiency - Unlocks new avenues for biological discovery, facilitating precise and effective research outcomes

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Information

Publisher
Academic Press
Year
2025
Topic
Biological Sciences
eBook ISBN
9780443276095
Subtopic
Biology
Index
Biological Sciences

Table of contents

  1. Cover image
  2. Title page
  3. Copyright
  4. Contents
  5. Contributors
  6. CHAPTER 1 Introduction to AI-powered graph models in biological sciences
  7. CHAPTER 2 Fundamentals of graph theory and biological networks
  8. CHAPTER 3 Leveraging natural language processing and graph models for sarcasm detection in text: Applications in health informatics and biomedical research
  9. CHAPTER 4 Graph-driven machine learning frameworks for survival prediction in colon cancer genomics
  10. CHAPTER 5 Network modeling in drug-disease systems prediction: A review
  11. Chapter 6 Exploring gene expression changes in Drosophila melanogaster with RNA-sequencing data analysis
  12. CHAPTER 7 Biomedical research tools, applications, and case studies
  13. CHAPTER 8 Integrating graph neural networks for predictive modeling in complex biological systems
  14. CHAPTER 9 Ethical considerations in AI-powered healthcare and data security
  15. CHAPTER 10 AI-enhanced drug discovery and repurposing using graph models
  16. CHAPTER 11 Intelligent genetic algorithm-based computational neuroscience model to detect epileptichese
  17. Index

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Yes, you can access Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery by Sudan Jha,Sultan Ahmad,Subhendukumar Pani in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over 1.5 million books available in our catalogue for you to explore.