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1. |
Record Nr. |
UNINA9910783643603321 |
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Titolo |
The practical bioinformatician [[electronic resource] /] / editor, Limsoon Wong |
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Pubbl/distr/stampa |
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River Edge, N.J. ; ; London, : World Scientific, c2004 |
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ISBN |
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1-281-87231-8 |
9786611872311 |
981-256-234-6 |
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Descrizione fisica |
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xxii, 517 p. : ill. (some col.), ports |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Computational biology |
Bioinformatics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references (p. 457-509). |
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Nota di contenuto |
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Chapter 1. Molecular Biology for the Practical Bioinformatician -- Chapter 2. Strategy and Planning of Bioinformatics Experiments -- Chapter 3. DataMining Techniques for the Practical Bioinformatician -- Chapter 4. Techniques for Recognition of Translation Initiation Sites -- Chapter 5. How Neural Networks Find Promoters Using Recognition of Micro-Structural Promoter Components -- Chapter 6. Neural-StatisticalModel of TATA-Box Motifs in Eukaryotes -- Chapter 7. Tuning the Dragon Promoter Finder System for Human Promoter Recognition -- Chapter 8. RNA Secondary Structure Prediction -- Chapter 9. Protein Localization Prediction -- Chapter 10. Homology Search Methods -- Chapter 11. Analysis of Phylogeny: A Case Study on Saururaceae -- Chapter 12. Functional Annotation and Protein Families: From Theory to Practice -- Chapter 13. Discovering Protein-Protein Interactions -- Chapter 14. Techniques for Analysis of Gene Expression -- Chapter 15. Genome-Wide cDNA Oligo Probe Design and its Applications in Schizosaccharomyces Pombe -- Chapter 16. Mining New Motifs from cDNA Sequence Data -- Chapter 17. Technologies for Biological Data Integration -- Chapter 18. Construction of Biological Databases: A Case Study on the Protein Phosphatase DataBase (PPDB) -- Chapter 19. A Family Classification Approach to Functional Annotation of Proteins -- Chapter 20. Informatics for Efficient EST- |
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Based Gene Discovery in Normalized and Subtracted cDNA Libraries. |
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2. |
Record Nr. |
UNISA996655266203316 |
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Titolo |
Model and Data Engineering : 13th International Conference, MEDI 2024, Naples, Italy, November 18–20, 2024, Proceedings / / edited by Carlos Ordonez, Giancarlo Sperlì, Elio Masciari, Ladjel Bellatreche |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (XI, 248 p. 85 illus., 64 illus. in color.) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 15590 |
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Disciplina |
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Soggetti |
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Software engineering |
Computer networks |
Database management |
Data mining |
Machine learning |
Software Engineering |
Computer Communication Networks |
Database Management |
Data Mining and Knowledge Discovery |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- AI-Enabled Systems. -- Arabic Mispronunciation Detection for Children in Noisy Environments via Vision Transformers. -- BaitBlock: Hybrid AI-Approach for Phishing Detection Across Communication Platforms. -- Stacked Generalization for Overlapping Asymmetric Datasets. -- Security and Privacy. -- Reusable Formal Model Libraries for Specifying and Analyzing Security Objectives in Event-B. -- Towards Specification and Analysis of Dependable Cyber-Physical Systems. -- The Use of Domain Specific Language for Critical Infrastructures Cyber Security Modeling: Literature Review. -- A Tool-supported Methodology for Creating Security Cases Using Argument |
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Patterns. -- Query Processing. -- In-Memory Spatial-Keyword Indexing and Querying: An Experimental Evaluation. -- Critical Role of Data Transformation in Preprocessing: Methods, Algorithms, and Challenges. -- Prediction. -- Forecasting Patient Arrivals in Emergency Departments Using Time Series Prediction Models: A Research at a Tunisian Emergency Department. -- AI-Enhanced Urban Crime Prediction: Exploring the Impact of Integrating Digital Behaviour and Economic Data. -- Application of Artificial Intelligence in Minimizing Voltage Deviation using Neural Network Predictive Controller. -- Conceptual issues. -- Multilevel Hypergraph Databases Conceptual Modelling - Approaching CRUD Operations. -- A GNN-based framework for Ontology Matching. -- A New Measurement Method for Sizing the Behavioural of BPMN Models. -- Applications. -- A Multi-Label Classification Framework for Socioeconomic Insights Using Mobile Traffic and POI Data. -- Comparative Analysis of Multivariate Time Series Forecasting Methods for Modeling Plastic Extruder Behavior. -- Transferring Practitioners’ Learning Experiences to Preserve and Promote Equine Knowledge Heritage. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 13th International Conference on Model and Data Engineering, MEDI 2024, held in Naples, Italy, during November 18–20, 2024. The 7 full papers and 11 short papers were carefully peer reviewed and selected from 45 submissions. They were organized in topical sections as follows: AI-Enabled Systems; Security and Privacy; Query Processing; Prediction; Conceptual Issues; and Applications. |
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