Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery: Unveiling Biological Frontiers
Editat de Sudan Jha, Sultan Ahmad, Subhendukumar Panien Limba Engleză Paperback – 7 noi 2025
- 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
Preț: 848.34 lei
Preț vechi: 1252.42 lei
-32% Nou
Puncte Express: 1273
Preț estimativ în valută:
150.09€ • 175.13$ • 131.23£
150.09€ • 175.13$ • 131.23£
Carte tipărită la comandă
Livrare economică 10-24 ianuarie 26
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780443276088
ISBN-10: 0443276080
Pagini: 262
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443276080
Pagini: 262
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Cuprins
1. Introduction to AI-powered graph models in biological sciences
Sudan Jha and Chandan Upadhyaya
2. Fundamentals of graph theory and biological networks
Edgar Ceh-Varela and Sarbagya Ratna Shakya
3. Leveraging Natural Language Processing and Graph Models for Sarcasm Detection in Text: Applications in Health Informatics and Biomedical Research
Manish Chandra Roy, Sukant Kishoro Bisoy and Pradipta Kumar Das
4. Graph-Driven Machine Learning Frameworks for Survival Prediction in Colon Cancer Genomics
Pinakshi Panda, Sukant Kishoro Bisoy and Subhendu Kumar Pani
5. Network Modeling in Drug-Disease Systems Prediction: A Review
Md. Alimul Haque, Farheen Islam, Sultan Ahmad, Md. Alamgir Hossain and Sangeeta Kumari
6. Exploring Gene Expression Changes in Drosophila melanogaster with RNA-Sequencing Data Analysis
Sarah Raza, Oroos Zohra, Md. Alimul Haque and Benazeer Zohra
7. Biomedical Research Tools, Applications, and Case Studies
Aman Anand, Praveen, Rajendra Kumar, Sudan Jha and Jaya Sinha
8. Integrating Graph Neural Networks for Predictive Modeling in Complex Biological Systems
Ankit Bansal, Aman Anand, Nikita Verma, Neetu Singh and Rajendra Kumar
9. Ethical Considerations in AI-Powered Healthcare and Data Security
Kritika Rana, Gaurav Gupta and Sultan Ahmad
10. AI-Enhanced Drug Discovery and Repurposing Using Graph Models
Sangam Ghimire, Nirjal Bhurtel and Sudan Jha
11. Intelligent Genetic Algorithm-Based Computational Neuroscience Model to Detect Epileptic
Haewon Byeon, Azzah AlGhamdi, Ismail Keshta and Mukesh Soni
Sudan Jha and Chandan Upadhyaya
2. Fundamentals of graph theory and biological networks
Edgar Ceh-Varela and Sarbagya Ratna Shakya
3. Leveraging Natural Language Processing and Graph Models for Sarcasm Detection in Text: Applications in Health Informatics and Biomedical Research
Manish Chandra Roy, Sukant Kishoro Bisoy and Pradipta Kumar Das
4. Graph-Driven Machine Learning Frameworks for Survival Prediction in Colon Cancer Genomics
Pinakshi Panda, Sukant Kishoro Bisoy and Subhendu Kumar Pani
5. Network Modeling in Drug-Disease Systems Prediction: A Review
Md. Alimul Haque, Farheen Islam, Sultan Ahmad, Md. Alamgir Hossain and Sangeeta Kumari
6. Exploring Gene Expression Changes in Drosophila melanogaster with RNA-Sequencing Data Analysis
Sarah Raza, Oroos Zohra, Md. Alimul Haque and Benazeer Zohra
7. Biomedical Research Tools, Applications, and Case Studies
Aman Anand, Praveen, Rajendra Kumar, Sudan Jha and Jaya Sinha
8. Integrating Graph Neural Networks for Predictive Modeling in Complex Biological Systems
Ankit Bansal, Aman Anand, Nikita Verma, Neetu Singh and Rajendra Kumar
9. Ethical Considerations in AI-Powered Healthcare and Data Security
Kritika Rana, Gaurav Gupta and Sultan Ahmad
10. AI-Enhanced Drug Discovery and Repurposing Using Graph Models
Sangam Ghimire, Nirjal Bhurtel and Sudan Jha
11. Intelligent Genetic Algorithm-Based Computational Neuroscience Model to Detect Epileptic
Haewon Byeon, Azzah AlGhamdi, Ismail Keshta and Mukesh Soni