Computational Techniques for Biological Sequence Analysis

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· 제목 : Computational Techniques for Biological Sequence Analysis (Hardcover, 1)
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9781032630267
· 쪽수 : 210쪽
· 출판일 : 2025-06-16

Machine Learning and Computational Models for the Prediction of Post-translational Modification Sites. 2. Application of Artificial Intelligence in Recognition of Gene Regulation and Metabolic Pathways. 3. Assessment of Machine Learning Algorithms in DNA Sequence Data Mining. 4. Efficient Detection and Recuperation of Mental Health Using Twitter and Fitbit Data-Based Recommendation System. 5. Role of Artificial Intelligence in Detection of Congenital Diseases. 6. A Hybrid Multi-Level Segmentation-Based Ensemble Classification Model for Multi-Class Diabetic Retinopathy Detection. 7. Innovative Approaches to Bilirubin Detection: Utilizing Smart Sensor Technologies for Enhanced Diagnostic Capabilities. 8. Targeted Immunization: Application of Machine Learning in Prediction of IL-4 Inducing Peptides. 9. Healthcare Portal - Django Framework for Healthcare Management System. 10. Unveiling Genetic Codes: Harnessing Machine Learning and Deep Learning for Deoxyribonucleic Acid Sequence Analysis.