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Knowledge discovery in bioinformatics [[electronic resource] ] : techniques, methods, and applications / / edited by Xiaohua Hu, Yi Pan
| Knowledge discovery in bioinformatics [[electronic resource] ] : techniques, methods, and applications / / edited by Xiaohua Hu, Yi Pan |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (405 p.) |
| Disciplina |
570.285
570/.285 572.80285 |
| Altri autori (Persone) |
HuXiaohua <1960->
PanYi <1960-> |
| Collana | Wiley Series in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computational biology |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-90018-0
9786610900183 0-470-12464-4 0-470-12463-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
KNOWLEDGE DISCOVERY IN BIOINFORMATICS; CONTENTS; Contributors; Preface; 1 Current Methods for Protein Secondary-Structure Prediction Based on Support Vector Machines; 1.1 Traditional Methods; 1.1.1 Statistical Approaches; 1.1.2 Machine Learning Approaches; 1.2 Support Vector Machine Method; 1.2.1 Introduction to SVM; 1.2.2 Encoding Profile; 1.2.3 Kernel Functions; 1.2.4 Tertiary Classifier Design; 1.2.5 Accuracy Measure of SVM; 1.3 Performance Comparison of SVM Methods; 1.4 Discussion and Conclusions; References; 2 Comparison of Seven Methods for Mining Hidden Links
2.1 Analysis of the Literature on Raynaud's Disease2.2 Related Work; 2.3 Methods; 2.3.1 Information Measures; 2.3.2 Ranking Methods; 2.3.3 Seven Methods; 2.4 Experiment Results and Analysis; 2.4.1 Data Set; 2.4.2 Chi-Square, Chi-Square Association Rule, and Mutual Information Link ABC Methods Compared; 2.4.3 Chi-Square ABC Method: Semantic Check for Mining Implicit Connections; 2.4.4 Chi-Square and Mutual Information Link ABC Methods; 2.5 Discussion and Conclusions; Acknowledgments; References; 3 Voting Scheme-Based Evolutionary Kernel Machines for Drug Activity Comparisons 3.1 Granular Kernel and Kernel Tree Design3.1.1 Definitions; 3.1.2 Granular Kernel Properties; 3.2 GKTSESs; 3.3 Evolutionary Voting Kernel Machines; 3.4 Simulations; 3.4.1 Data Set and Experimental Setup; 3.4.2 Experimental Results and Comparisons; 3.5 Conclusions and Future Work; Acknowledgments; References; 4 Bioinformatics Analyses of Arabidopsis thaliana Tiling Array Expression Data; 4.1 Tiling Array Design and Data Description; 4.1.1 Data; 4.1.2 Tiling Array Expression Patterns; 4.1.3 Tiling Array Data Analysis; 4.2 Ontology Analyses; 4.3 Antisense Regulation Identification 4.3.1 Antisense Silencing4.3.2 Antisense Regulation Identification; 4.4 Correlated Expression Between Two DNA Strands; 4.5 Identification of Nonprotein Coding mRNA; 4.6 Summary; Acknowledgments; References; 5 Identification of Marker Genes from High-Dimensional Microarray Data for Cancer Classification; 5.1 Feature Selection; 5.1.1 Taxonomy of Feature Selection; 5.1.2 Evaluation Criterion; 5.1.3 Generation Procedure; 5.2 Gene Selection; 5.2.1 Individual Gene Ranking; 5.2.2 Gene Subset Selection; 5.2.3 Summary of Gene Selection; 5.3 Comparative Study of Gene Selection Methods 5.3.1 Microarray Data Descriptions5.3.2 Gene Selection Approaches; 5.3.3 Experimental Results; 5.4 Conclusions and Discussion; Acknowledgments; References; 6 Patient Survival Prediction from Gene Expression Data; 6.1 General Methods; 6.1.1 Kaplan-Meier Survival Analysis; 6.1.2 Cox Proportional-Hazards Regression; 6.2 Applications; 6.2.1 Diffuse Large-B-Cell Lymphoma; 6.2.2 Lung Adenocarcinoma; 6.2.3 Remarks; 6.3 Incorporating Data Mining Techniques to Survival Prediction; 6.3.1 Gene Selection by Statistical Properties; 6.3.2 Cancer Subtype Identification via Survival Information 6.4 Selection of Extreme Patient Samples |
| Record Nr. | UNINA-9910143415403321 |
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge discovery in bioinformatics [[electronic resource] ] : techniques, methods, and applications / / edited by Xiaohua Hu, Yi Pan
| Knowledge discovery in bioinformatics [[electronic resource] ] : techniques, methods, and applications / / edited by Xiaohua Hu, Yi Pan |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (405 p.) |
| Disciplina |
570.285
570/.285 572.80285 |
| Altri autori (Persone) |
HuXiaohua <1960->
PanYi <1960-> |
| Collana | Wiley Series in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computational biology |
| ISBN |
1-280-90018-0
9786610900183 0-470-12464-4 0-470-12463-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
KNOWLEDGE DISCOVERY IN BIOINFORMATICS; CONTENTS; Contributors; Preface; 1 Current Methods for Protein Secondary-Structure Prediction Based on Support Vector Machines; 1.1 Traditional Methods; 1.1.1 Statistical Approaches; 1.1.2 Machine Learning Approaches; 1.2 Support Vector Machine Method; 1.2.1 Introduction to SVM; 1.2.2 Encoding Profile; 1.2.3 Kernel Functions; 1.2.4 Tertiary Classifier Design; 1.2.5 Accuracy Measure of SVM; 1.3 Performance Comparison of SVM Methods; 1.4 Discussion and Conclusions; References; 2 Comparison of Seven Methods for Mining Hidden Links
2.1 Analysis of the Literature on Raynaud's Disease2.2 Related Work; 2.3 Methods; 2.3.1 Information Measures; 2.3.2 Ranking Methods; 2.3.3 Seven Methods; 2.4 Experiment Results and Analysis; 2.4.1 Data Set; 2.4.2 Chi-Square, Chi-Square Association Rule, and Mutual Information Link ABC Methods Compared; 2.4.3 Chi-Square ABC Method: Semantic Check for Mining Implicit Connections; 2.4.4 Chi-Square and Mutual Information Link ABC Methods; 2.5 Discussion and Conclusions; Acknowledgments; References; 3 Voting Scheme-Based Evolutionary Kernel Machines for Drug Activity Comparisons 3.1 Granular Kernel and Kernel Tree Design3.1.1 Definitions; 3.1.2 Granular Kernel Properties; 3.2 GKTSESs; 3.3 Evolutionary Voting Kernel Machines; 3.4 Simulations; 3.4.1 Data Set and Experimental Setup; 3.4.2 Experimental Results and Comparisons; 3.5 Conclusions and Future Work; Acknowledgments; References; 4 Bioinformatics Analyses of Arabidopsis thaliana Tiling Array Expression Data; 4.1 Tiling Array Design and Data Description; 4.1.1 Data; 4.1.2 Tiling Array Expression Patterns; 4.1.3 Tiling Array Data Analysis; 4.2 Ontology Analyses; 4.3 Antisense Regulation Identification 4.3.1 Antisense Silencing4.3.2 Antisense Regulation Identification; 4.4 Correlated Expression Between Two DNA Strands; 4.5 Identification of Nonprotein Coding mRNA; 4.6 Summary; Acknowledgments; References; 5 Identification of Marker Genes from High-Dimensional Microarray Data for Cancer Classification; 5.1 Feature Selection; 5.1.1 Taxonomy of Feature Selection; 5.1.2 Evaluation Criterion; 5.1.3 Generation Procedure; 5.2 Gene Selection; 5.2.1 Individual Gene Ranking; 5.2.2 Gene Subset Selection; 5.2.3 Summary of Gene Selection; 5.3 Comparative Study of Gene Selection Methods 5.3.1 Microarray Data Descriptions5.3.2 Gene Selection Approaches; 5.3.3 Experimental Results; 5.4 Conclusions and Discussion; Acknowledgments; References; 6 Patient Survival Prediction from Gene Expression Data; 6.1 General Methods; 6.1.1 Kaplan-Meier Survival Analysis; 6.1.2 Cox Proportional-Hazards Regression; 6.2 Applications; 6.2.1 Diffuse Large-B-Cell Lymphoma; 6.2.2 Lung Adenocarcinoma; 6.2.3 Remarks; 6.3 Incorporating Data Mining Techniques to Survival Prediction; 6.3.1 Gene Selection by Statistical Properties; 6.3.2 Cancer Subtype Identification via Survival Information 6.4 Selection of Extreme Patient Samples |
| Record Nr. | UNINA-9910831180403321 |
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge discovery in bioinformatics : techniques, methods, and applications / / edited by Xiaohua Hu, Yi Pan
| Knowledge discovery in bioinformatics : techniques, methods, and applications / / edited by Xiaohua Hu, Yi Pan |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Interscience, c2007 |
| Descrizione fisica | 1 online resource (405 p.) |
| Disciplina | 570/.285 |
| Altri autori (Persone) |
HuXiaohua <1960->
PanYi <1960-> |
| Collana | Wiley Series in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computational biology |
| ISBN |
1-280-90018-0
9786610900183 0-470-12464-4 0-470-12463-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
KNOWLEDGE DISCOVERY IN BIOINFORMATICS; CONTENTS; Contributors; Preface; 1 Current Methods for Protein Secondary-Structure Prediction Based on Support Vector Machines; 1.1 Traditional Methods; 1.1.1 Statistical Approaches; 1.1.2 Machine Learning Approaches; 1.2 Support Vector Machine Method; 1.2.1 Introduction to SVM; 1.2.2 Encoding Profile; 1.2.3 Kernel Functions; 1.2.4 Tertiary Classifier Design; 1.2.5 Accuracy Measure of SVM; 1.3 Performance Comparison of SVM Methods; 1.4 Discussion and Conclusions; References; 2 Comparison of Seven Methods for Mining Hidden Links
2.1 Analysis of the Literature on Raynaud's Disease2.2 Related Work; 2.3 Methods; 2.3.1 Information Measures; 2.3.2 Ranking Methods; 2.3.3 Seven Methods; 2.4 Experiment Results and Analysis; 2.4.1 Data Set; 2.4.2 Chi-Square, Chi-Square Association Rule, and Mutual Information Link ABC Methods Compared; 2.4.3 Chi-Square ABC Method: Semantic Check for Mining Implicit Connections; 2.4.4 Chi-Square and Mutual Information Link ABC Methods; 2.5 Discussion and Conclusions; Acknowledgments; References; 3 Voting Scheme-Based Evolutionary Kernel Machines for Drug Activity Comparisons 3.1 Granular Kernel and Kernel Tree Design3.1.1 Definitions; 3.1.2 Granular Kernel Properties; 3.2 GKTSESs; 3.3 Evolutionary Voting Kernel Machines; 3.4 Simulations; 3.4.1 Data Set and Experimental Setup; 3.4.2 Experimental Results and Comparisons; 3.5 Conclusions and Future Work; Acknowledgments; References; 4 Bioinformatics Analyses of Arabidopsis thaliana Tiling Array Expression Data; 4.1 Tiling Array Design and Data Description; 4.1.1 Data; 4.1.2 Tiling Array Expression Patterns; 4.1.3 Tiling Array Data Analysis; 4.2 Ontology Analyses; 4.3 Antisense Regulation Identification 4.3.1 Antisense Silencing4.3.2 Antisense Regulation Identification; 4.4 Correlated Expression Between Two DNA Strands; 4.5 Identification of Nonprotein Coding mRNA; 4.6 Summary; Acknowledgments; References; 5 Identification of Marker Genes from High-Dimensional Microarray Data for Cancer Classification; 5.1 Feature Selection; 5.1.1 Taxonomy of Feature Selection; 5.1.2 Evaluation Criterion; 5.1.3 Generation Procedure; 5.2 Gene Selection; 5.2.1 Individual Gene Ranking; 5.2.2 Gene Subset Selection; 5.2.3 Summary of Gene Selection; 5.3 Comparative Study of Gene Selection Methods 5.3.1 Microarray Data Descriptions5.3.2 Gene Selection Approaches; 5.3.3 Experimental Results; 5.4 Conclusions and Discussion; Acknowledgments; References; 6 Patient Survival Prediction from Gene Expression Data; 6.1 General Methods; 6.1.1 Kaplan-Meier Survival Analysis; 6.1.2 Cox Proportional-Hazards Regression; 6.2 Applications; 6.2.1 Diffuse Large-B-Cell Lymphoma; 6.2.2 Lung Adenocarcinoma; 6.2.3 Remarks; 6.3 Incorporating Data Mining Techniques to Survival Prediction; 6.3.1 Gene Selection by Statistical Properties; 6.3.2 Cancer Subtype Identification via Survival Information 6.4 Selection of Extreme Patient Samples |
| Record Nr. | UNINA-9910877982303321 |
| Hoboken, N.J., : Wiley-Interscience, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||