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Full Description
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.
Contents
1. Introduction to AI-Powered Graph Models in Biology
2. Fundamentals of Graph Theory and Biological Networks
3. Graph-Based Machine Learning Techniques
4. Graph Models for Genomics Data Analysis
5. Network Medicine and Disease Prediction
6. Drug Discovery and Re-purposing using Graph Models
7. Graph-Based Analysis of Biological Pathways
8. Case Studies and Applications in Biomedical Research
9. Challenges and Future Directions in AI-Powered Graph Models for Biology
