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Advanced methods and tools for ECG data analysis / / Gari D. Clifford, Francisco Azuaje, Patrick E. McSharry (editors)
| Advanced methods and tools for ECG data analysis / / Gari D. Clifford, Francisco Azuaje, Patrick E. McSharry (editors) |
| Pubbl/distr/stampa | Boston : , : Artech House, , ©2006 |
| Descrizione fisica | 1 online resource (399 p.) |
| Disciplina | 616.1207547 |
| Altri autori (Persone) |
CliffordGari D
AzuajeFrancisco McSharryPatrick |
| Collana | Artech House engineering in medicine & biology series |
| Soggetto topico |
Electrocardiography - Data processing
Heart - Diseases - Diagnosis |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-58053-967-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The Physiological Basis of the Electrocardiogram / Andrew T. Reisner, Gari D. Clifford, and Roger G. Mark -- ECG Acquisition, Storage, Transmission, and Representation / Gari D. Clifford and Matt B. Oefinger -- ECG Statistics, Noise, Artifacts, and Missing Data / Gari D. Clifford -- Models for ECG and RR Interval Processes / Patrick E. McSharry and Gari D. Clifford -- Linear Filtering Methods / Gari D. Clifford -- |
| Record Nr. | UNINA-9910458393603321 |
| Boston : , : Artech House, , ©2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced methods and tools for ECG data analysis / / Gari D. Clifford, Francisco Azuaje, Patrick E. McSharry (editors)
| Advanced methods and tools for ECG data analysis / / Gari D. Clifford, Francisco Azuaje, Patrick E. McSharry (editors) |
| Pubbl/distr/stampa | Boston : , : Artech House, , ©2006 |
| Descrizione fisica | 1 online resource (399 p.) |
| Disciplina | 616.1207547 |
| Altri autori (Persone) |
CliffordGari D
AzuajeFrancisco McSharryPatrick |
| Collana | Artech House engineering in medicine & biology series |
| Soggetto topico |
Electrocardiography - Data processing
Heart - Diseases - Diagnosis |
| ISBN | 1-58053-967-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The Physiological Basis of the Electrocardiogram / Andrew T. Reisner, Gari D. Clifford, and Roger G. Mark -- ECG Acquisition, Storage, Transmission, and Representation / Gari D. Clifford and Matt B. Oefinger -- ECG Statistics, Noise, Artifacts, and Missing Data / Gari D. Clifford -- Models for ECG and RR Interval Processes / Patrick E. McSharry and Gari D. Clifford -- Linear Filtering Methods / Gari D. Clifford -- |
| Record Nr. | UNINA-9910784798803321 |
| Boston : , : Artech House, , ©2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced methods and tools for ECG data analysis / / Gari D. Clifford, Francisco Azuaje, Patrick E. McSharry (editors)
| Advanced methods and tools for ECG data analysis / / Gari D. Clifford, Francisco Azuaje, Patrick E. McSharry (editors) |
| Pubbl/distr/stampa | Boston : , : Artech House, , ©2006 |
| Descrizione fisica | 1 online resource (399 p.) |
| Disciplina | 616.1207547 |
| Altri autori (Persone) |
CliffordGari D
AzuajeFrancisco McSharryPatrick |
| Collana | Artech House engineering in medicine & biology series |
| Soggetto topico |
Electrocardiography - Data processing
Heart - Diseases - Diagnosis |
| ISBN | 1-58053-967-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The Physiological Basis of the Electrocardiogram / Andrew T. Reisner, Gari D. Clifford, and Roger G. Mark -- ECG Acquisition, Storage, Transmission, and Representation / Gari D. Clifford and Matt B. Oefinger -- ECG Statistics, Noise, Artifacts, and Missing Data / Gari D. Clifford -- Models for ECG and RR Interval Processes / Patrick E. McSharry and Gari D. Clifford -- Linear Filtering Methods / Gari D. Clifford -- |
| Record Nr. | UNINA-9910808579003321 |
| Boston : , : Artech House, , ©2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data analysis and visualization in genomics and proteomics [[electronic resource] /] / editors, Francisco Azuaje and Joaquín Dopazo
| Data analysis and visualization in genomics and proteomics [[electronic resource] /] / editors, Francisco Azuaje and Joaquín Dopazo |
| Pubbl/distr/stampa | Hoboken, NJ, : John Wiley, c2005 |
| Descrizione fisica | 1 online resource (285 p.) |
| Disciplina |
372.860285
572.8/6 |
| Altri autori (Persone) |
AzuajeFrancisco
DopazoJoaquín |
| Soggetto topico |
Genomics - Data processing
Proteomics - Data processing Data mining |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-27600-2
9786610276004 0-470-09441-9 0-470-09440-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Data Analysis and Visualization in Genomics and Proteomics; Contents; Preface; List of Contributors; SECTION I INTRODUCTION - DATA DIVERSITY AND INTEGRATION; 1 Integrative Data Analysis and Visualization: Introduction to Critical Problems, Goals and Challenges; 1.1 Data Analysis and Visualization: An Integrative Approach; 1.2 Critical Design and Implementation Factors; 1.3 Overview of Contributions; References; 2 Biological Databases: Infrastructure, Content and Integration; 2.1 Introduction; 2.2 Data Integration; 2.3 Review of Molecular Biology Databases; 2.4 Conclusion; References
3 Data and Predictive Model Integration: an Overview of Key Concepts, Problems and Solutions3.1 Integrative Data Analysis and Visualization: Motivation and Approaches; 3.2 Integrating Informational Views and Complexity for Understanding Function; 3.3 Integrating Data Analysis Techniques for Supporting Functional Analysis; 3.4 Final Remarks; References; SECTION II INTEGRATIVE DATA MINING AND VISUALIZATION - EMPHASIS ON COMBINATION OF MULTIPLE DATA TYPES; 4 Applications of Text Mining in Molecular Biology, from Name Recognition to Protein Interaction Maps; 4.1 Introduction 4.2 Introduction to Text Mining and NLP4.3 Databases and Resources for Biomedical Text Mining; 4.4 Text Mining and Protein-Protein Interactions; 4.5 Other Text-Mining Applications in Genomics; 4.6 The Future of NLP in Biomedicine; Acknowledgements; References; 5 Protein Interaction Prediction by Integrating Genomic Features and Protein Interaction Network Analysis; 5.1 Introduction; 5.2 Genomic Features in Protein Interaction Predictions; 5.3 Machine Learning on Protein-Protein Interactions; 5.4 The Missing Value Problem; 5.5 Network Analysis of Protein Interactions; 5.6 Discussion References6 Integration of Genomic and Phenotypic Data; 6.1 Phenotype; 6.2 Forward Genetics and QTL Analysis; 6.3 Reverse Genetics; 6.4 Prediction of Phenotype from Other Sources of Data; 6.5 Integrating Phenotype Data with Systems Biology; 6.6 Integration of Phenotype Data in Databases; 6.7 Conclusions; References; 7 Ontologies and Functional Genomics; 7.1 Information Mining in Genome-Wide Functional Analysis; 7.2 Sources of Information: Free Text Versus Curated Repositories; 7.3 Bio-Ontologies and the Gene Ontology in Functional Genomics 7.4 Using GO to Translate the Results of Functional Genomic Experiments into Biological Knowledge7.5 Statistical Approaches to Test Significant Biological Differences; 7.6 Using FatiGO to Find Significant Functional Associations in Clusters of Genes; 7.7 Other Tools; 7.8 Examples of Functional Analysis of Clusters of Genes; 7.9 Future Prospects; References; 8 The C. elegans Interactome: its Generation and Visualization; 8.1 Introduction; 8.2 The ORFeome: the first step toward the interactome of C. elegans 8.3 Large-Scale High-Throughput Yeast Two-Hybrid Screens to Map the C. elegans Protein-Protein Interaction (Interactome) Network: Technical Aspects |
| Record Nr. | UNINA-9910143713103321 |
| Hoboken, NJ, : John Wiley, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data analysis and visualization in genomics and proteomics [[electronic resource] /] / editors, Francisco Azuaje and Joaquín Dopazo
| Data analysis and visualization in genomics and proteomics [[electronic resource] /] / editors, Francisco Azuaje and Joaquín Dopazo |
| Pubbl/distr/stampa | Hoboken, NJ, : John Wiley, c2005 |
| Descrizione fisica | 1 online resource (285 p.) |
| Disciplina |
372.860285
572.8/6 |
| Altri autori (Persone) |
AzuajeFrancisco
DopazoJoaquín |
| Soggetto topico |
Genomics - Data processing
Proteomics - Data processing Data mining |
| ISBN |
1-280-27600-2
9786610276004 0-470-09441-9 0-470-09440-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Data Analysis and Visualization in Genomics and Proteomics; Contents; Preface; List of Contributors; SECTION I INTRODUCTION - DATA DIVERSITY AND INTEGRATION; 1 Integrative Data Analysis and Visualization: Introduction to Critical Problems, Goals and Challenges; 1.1 Data Analysis and Visualization: An Integrative Approach; 1.2 Critical Design and Implementation Factors; 1.3 Overview of Contributions; References; 2 Biological Databases: Infrastructure, Content and Integration; 2.1 Introduction; 2.2 Data Integration; 2.3 Review of Molecular Biology Databases; 2.4 Conclusion; References
3 Data and Predictive Model Integration: an Overview of Key Concepts, Problems and Solutions3.1 Integrative Data Analysis and Visualization: Motivation and Approaches; 3.2 Integrating Informational Views and Complexity for Understanding Function; 3.3 Integrating Data Analysis Techniques for Supporting Functional Analysis; 3.4 Final Remarks; References; SECTION II INTEGRATIVE DATA MINING AND VISUALIZATION - EMPHASIS ON COMBINATION OF MULTIPLE DATA TYPES; 4 Applications of Text Mining in Molecular Biology, from Name Recognition to Protein Interaction Maps; 4.1 Introduction 4.2 Introduction to Text Mining and NLP4.3 Databases and Resources for Biomedical Text Mining; 4.4 Text Mining and Protein-Protein Interactions; 4.5 Other Text-Mining Applications in Genomics; 4.6 The Future of NLP in Biomedicine; Acknowledgements; References; 5 Protein Interaction Prediction by Integrating Genomic Features and Protein Interaction Network Analysis; 5.1 Introduction; 5.2 Genomic Features in Protein Interaction Predictions; 5.3 Machine Learning on Protein-Protein Interactions; 5.4 The Missing Value Problem; 5.5 Network Analysis of Protein Interactions; 5.6 Discussion References6 Integration of Genomic and Phenotypic Data; 6.1 Phenotype; 6.2 Forward Genetics and QTL Analysis; 6.3 Reverse Genetics; 6.4 Prediction of Phenotype from Other Sources of Data; 6.5 Integrating Phenotype Data with Systems Biology; 6.6 Integration of Phenotype Data in Databases; 6.7 Conclusions; References; 7 Ontologies and Functional Genomics; 7.1 Information Mining in Genome-Wide Functional Analysis; 7.2 Sources of Information: Free Text Versus Curated Repositories; 7.3 Bio-Ontologies and the Gene Ontology in Functional Genomics 7.4 Using GO to Translate the Results of Functional Genomic Experiments into Biological Knowledge7.5 Statistical Approaches to Test Significant Biological Differences; 7.6 Using FatiGO to Find Significant Functional Associations in Clusters of Genes; 7.7 Other Tools; 7.8 Examples of Functional Analysis of Clusters of Genes; 7.9 Future Prospects; References; 8 The C. elegans Interactome: its Generation and Visualization; 8.1 Introduction; 8.2 The ORFeome: the first step toward the interactome of C. elegans 8.3 Large-Scale High-Throughput Yeast Two-Hybrid Screens to Map the C. elegans Protein-Protein Interaction (Interactome) Network: Technical Aspects |
| Record Nr. | UNINA-9910830512303321 |
| Hoboken, NJ, : John Wiley, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data analysis and visualization in genomics and proteomics [[electronic resource] /] / editors, Francisco Azuaje and Joaquín Dopazo
| Data analysis and visualization in genomics and proteomics [[electronic resource] /] / editors, Francisco Azuaje and Joaquín Dopazo |
| Pubbl/distr/stampa | Hoboken, NJ, : John Wiley, c2005 |
| Descrizione fisica | 1 online resource (285 p.) |
| Disciplina |
372.860285
572.8/6 |
| Altri autori (Persone) |
AzuajeFrancisco
DopazoJoaquín |
| Soggetto topico |
Genomics - Data processing
Proteomics - Data processing Data mining |
| ISBN |
1-280-27600-2
9786610276004 0-470-09441-9 0-470-09440-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Data Analysis and Visualization in Genomics and Proteomics; Contents; Preface; List of Contributors; SECTION I INTRODUCTION - DATA DIVERSITY AND INTEGRATION; 1 Integrative Data Analysis and Visualization: Introduction to Critical Problems, Goals and Challenges; 1.1 Data Analysis and Visualization: An Integrative Approach; 1.2 Critical Design and Implementation Factors; 1.3 Overview of Contributions; References; 2 Biological Databases: Infrastructure, Content and Integration; 2.1 Introduction; 2.2 Data Integration; 2.3 Review of Molecular Biology Databases; 2.4 Conclusion; References
3 Data and Predictive Model Integration: an Overview of Key Concepts, Problems and Solutions3.1 Integrative Data Analysis and Visualization: Motivation and Approaches; 3.2 Integrating Informational Views and Complexity for Understanding Function; 3.3 Integrating Data Analysis Techniques for Supporting Functional Analysis; 3.4 Final Remarks; References; SECTION II INTEGRATIVE DATA MINING AND VISUALIZATION - EMPHASIS ON COMBINATION OF MULTIPLE DATA TYPES; 4 Applications of Text Mining in Molecular Biology, from Name Recognition to Protein Interaction Maps; 4.1 Introduction 4.2 Introduction to Text Mining and NLP4.3 Databases and Resources for Biomedical Text Mining; 4.4 Text Mining and Protein-Protein Interactions; 4.5 Other Text-Mining Applications in Genomics; 4.6 The Future of NLP in Biomedicine; Acknowledgements; References; 5 Protein Interaction Prediction by Integrating Genomic Features and Protein Interaction Network Analysis; 5.1 Introduction; 5.2 Genomic Features in Protein Interaction Predictions; 5.3 Machine Learning on Protein-Protein Interactions; 5.4 The Missing Value Problem; 5.5 Network Analysis of Protein Interactions; 5.6 Discussion References6 Integration of Genomic and Phenotypic Data; 6.1 Phenotype; 6.2 Forward Genetics and QTL Analysis; 6.3 Reverse Genetics; 6.4 Prediction of Phenotype from Other Sources of Data; 6.5 Integrating Phenotype Data with Systems Biology; 6.6 Integration of Phenotype Data in Databases; 6.7 Conclusions; References; 7 Ontologies and Functional Genomics; 7.1 Information Mining in Genome-Wide Functional Analysis; 7.2 Sources of Information: Free Text Versus Curated Repositories; 7.3 Bio-Ontologies and the Gene Ontology in Functional Genomics 7.4 Using GO to Translate the Results of Functional Genomic Experiments into Biological Knowledge7.5 Statistical Approaches to Test Significant Biological Differences; 7.6 Using FatiGO to Find Significant Functional Associations in Clusters of Genes; 7.7 Other Tools; 7.8 Examples of Functional Analysis of Clusters of Genes; 7.9 Future Prospects; References; 8 The C. elegans Interactome: its Generation and Visualization; 8.1 Introduction; 8.2 The ORFeome: the first step toward the interactome of C. elegans 8.3 Large-Scale High-Throughput Yeast Two-Hybrid Screens to Map the C. elegans Protein-Protein Interaction (Interactome) Network: Technical Aspects |
| Record Nr. | UNINA-9910841006403321 |
| Hoboken, NJ, : John Wiley, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||