Life science data mining [[electronic resource] /] / editors, Stephen Wong, Chung-Sheng Li |
Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2006 |
Descrizione fisica | 1 online resource (388 p.) |
Disciplina | 570.2856312 |
Altri autori (Persone) |
WongStephen T. C
LiChung-Sheng <1962-> |
Collana | Science, engineering, and biology informatics |
Soggetto topico |
Computational biology - Methodology
Bioinformatics |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-92440-7
9786611924409 981-277-266-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
CONTENTS ; Preface ; Chapter 1 Survey of Early Warning Systems for Environmental and Public Health Applications ; 1. Introduction ; 2. Disease Surveillance ; 3. Reference Architecture for Model Extraction ; 4. Problem Domain ; 5. Data Sources ; 6. Detection Methods
7. Summary and Conclusion References ; Chapter 2 Time-Lapse Cell Cycle Quantitative Data Analysis Using Gaussian Mixture Models ; 1. Introduction ; 2. Material and Feature Extraction ; 3. Problem Statement and Formulation ; 4. Classification Methods ; 5. Experimental Results 6. Conclusion Appendix A ; Appendix B ; References ; Chapter 3 Diversity and Accuracy of Data Mining Ensemble ; 1. Introduction ; 2. Ensemble and Diversity ; 3. Probability Analysis ; 4. Coincident Failure Diversity ; 5. Ensemble Accuracy ; 6. Construction of Effective Ensembles 7. An Application: Osteoporosis Classification Problem 8. Discussion and Conclusions ; References ; Chapter 4 Integrated Clustering for Microarray Data ; 1. Introduction ; 2. Related Work ; 3. Data Preprocessing ; 4. Integrated Clustering ; 5. Experimental Evaluation 6. Conclusions References ; Chapter 5 Complexity and Synchronization of EEG with Parametric Modeling ; 1. Introduction ; 2. TVAR Modeling ; 3. Complexity Measure ; 4. Synchronization Measure ; 5. Conclusions ; References Chapter 6 Bayesian Fusion of Syndromic Surveillance with Sensor Data for Disease Outbreak Classification |
Record Nr. | UNINA-9910453805503321 |
Singapore ; ; Hackensack, NJ, : World Scientific, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Life science data mining [[electronic resource] /] / editors, Stephen Wong, Chung-Sheng Li |
Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, c2006 |
Descrizione fisica | 1 online resource (388 p.) |
Disciplina | 570.2856312 |
Altri autori (Persone) |
WongStephen T. C
LiChung-Sheng <1962-> |
Collana | Science, engineering, and biology informatics |
Soggetto topico |
Computational biology - Methodology
Bioinformatics |
ISBN |
1-281-92440-7
9786611924409 981-277-266-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
CONTENTS ; Preface ; Chapter 1 Survey of Early Warning Systems for Environmental and Public Health Applications ; 1. Introduction ; 2. Disease Surveillance ; 3. Reference Architecture for Model Extraction ; 4. Problem Domain ; 5. Data Sources ; 6. Detection Methods
7. Summary and Conclusion References ; Chapter 2 Time-Lapse Cell Cycle Quantitative Data Analysis Using Gaussian Mixture Models ; 1. Introduction ; 2. Material and Feature Extraction ; 3. Problem Statement and Formulation ; 4. Classification Methods ; 5. Experimental Results 6. Conclusion Appendix A ; Appendix B ; References ; Chapter 3 Diversity and Accuracy of Data Mining Ensemble ; 1. Introduction ; 2. Ensemble and Diversity ; 3. Probability Analysis ; 4. Coincident Failure Diversity ; 5. Ensemble Accuracy ; 6. Construction of Effective Ensembles 7. An Application: Osteoporosis Classification Problem 8. Discussion and Conclusions ; References ; Chapter 4 Integrated Clustering for Microarray Data ; 1. Introduction ; 2. Related Work ; 3. Data Preprocessing ; 4. Integrated Clustering ; 5. Experimental Evaluation 6. Conclusions References ; Chapter 5 Complexity and Synchronization of EEG with Parametric Modeling ; 1. Introduction ; 2. TVAR Modeling ; 3. Complexity Measure ; 4. Synchronization Measure ; 5. Conclusions ; References Chapter 6 Bayesian Fusion of Syndromic Surveillance with Sensor Data for Disease Outbreak Classification |
Record Nr. | UNINA-9910782587803321 |
Singapore ; ; Hackensack, NJ, : World Scientific, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Microscopic image analysis for life science applications / / Jens Rittscher, Raghu Machiraju, Stephen T.C. Wong, editors |
Pubbl/distr/stampa | Norwood, Massachusetts : , : Artech House, , ©2008 |
Descrizione fisica | 1 online resource (533 p.) |
Disciplina | 570.282 |
Altri autori (Persone) |
RittscherJens
MachirajuRaghu WongStephen T. C |
Collana | Bioinformatics & biomedical imaging |
Soggetto topico |
Image analysis
Imaging systems Microscopy |
Soggetto genere / forma | Electronic books. |
ISBN | 1-59693-237-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Microscopic Image Analysis for LifeScience Applications; Contents; Foreword; Preface; Chapter 1 Introduction to Biological Light Microscopy; Chapter 2 Molecular Probes for Fluorescence Microscopy; Chapter 3 Overview of Image Analysis Tools and Tasks for Microscopy; Chapter 4 An Introduction to Fluorescence Microscopy: Basic Principles, Challenges, and Opportunities; Chapter 5 FARSIGHT: A Divide and Conquer Methodology for Analyzing Complex and Dynamic Biological Microenvironments
Chapter 6 MST-Cut: A Minimum Spanning Tree -- Based Image Mining Tool and Its Applications in Automatic Clustering of Fruit Fly Embryonic Gene Expression Patterns and Predicting Regulatory MotifsChapter 7 Simulation and Estimation of Intracellular Dynamics and Trafficking; Chapter 8 Techniques for Cellular and Tissue-Based Image Quantitation of Protein Biomarkers; Chapter 9 Methods for High-Content, High-Throughput, Image-Based Cell Screening; Chapter 10 Particle Tracking in 3D+t Biological Imaging Chapter 11 Automated Analysis of the Mitotic Phases of Human Cells in 3-DFluorescence Microscopy Image SequencesChapter 12 Automated Spatio-Temporal CellCycle Phase Analysis Based on Covert GFP Sensors; Chapter 13 Cell Segmentation for Division Rate Estimation in Computerized Video Time-Lapse Microscopy; Systems Biology and the Digital Fish Project: A Vast New Frontier for Image Analysis; Chapter 15 Quantitative Phenotyping Using Microscopic Images; Chapter 16 Automatic 3-D Morphological Reconstruction of Neuron Cells from Multiphoton Images Chapter 17 Robust 3-D Reconstruction and Identification of Dendritic SpinesChapter 18 Small Critter Imaging; Chapter 19 Processing of In Vivo Fibered Confocal Microscopy Video Sequences; About the Editors; List of Contributors; Blank Page; Index |
Record Nr. | UNINA-9910455184203321 |
Norwood, Massachusetts : , : Artech House, , ©2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Microscopic image analysis for life science applications / / Jens Rittscher, Raghu Machiraju, Stephen T.C. Wong, editors |
Pubbl/distr/stampa | Norwood, Massachusetts : , : Artech House, , ©2008 |
Descrizione fisica | 1 online resource (533 p.) |
Disciplina | 570.282 |
Altri autori (Persone) |
RittscherJens
MachirajuRaghu WongStephen T. C |
Collana | Bioinformatics & biomedical imaging |
Soggetto topico |
Image analysis
Imaging systems Microscopy |
ISBN | 1-59693-237-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Microscopic Image Analysis for LifeScience Applications; Contents; Foreword; Preface; Chapter 1 Introduction to Biological Light Microscopy; Chapter 2 Molecular Probes for Fluorescence Microscopy; Chapter 3 Overview of Image Analysis Tools and Tasks for Microscopy; Chapter 4 An Introduction to Fluorescence Microscopy: Basic Principles, Challenges, and Opportunities; Chapter 5 FARSIGHT: A Divide and Conquer Methodology for Analyzing Complex and Dynamic Biological Microenvironments
Chapter 6 MST-Cut: A Minimum Spanning Tree -- Based Image Mining Tool and Its Applications in Automatic Clustering of Fruit Fly Embryonic Gene Expression Patterns and Predicting Regulatory MotifsChapter 7 Simulation and Estimation of Intracellular Dynamics and Trafficking; Chapter 8 Techniques for Cellular and Tissue-Based Image Quantitation of Protein Biomarkers; Chapter 9 Methods for High-Content, High-Throughput, Image-Based Cell Screening; Chapter 10 Particle Tracking in 3D+t Biological Imaging Chapter 11 Automated Analysis of the Mitotic Phases of Human Cells in 3-DFluorescence Microscopy Image SequencesChapter 12 Automated Spatio-Temporal CellCycle Phase Analysis Based on Covert GFP Sensors; Chapter 13 Cell Segmentation for Division Rate Estimation in Computerized Video Time-Lapse Microscopy; Systems Biology and the Digital Fish Project: A Vast New Frontier for Image Analysis; Chapter 15 Quantitative Phenotyping Using Microscopic Images; Chapter 16 Automatic 3-D Morphological Reconstruction of Neuron Cells from Multiphoton Images Chapter 17 Robust 3-D Reconstruction and Identification of Dendritic SpinesChapter 18 Small Critter Imaging; Chapter 19 Processing of In Vivo Fibered Confocal Microscopy Video Sequences; About the Editors; List of Contributors; Blank Page; Index |
Record Nr. | UNINA-9910778301103321 |
Norwood, Massachusetts : , : Artech House, , ©2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|