Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Applications of fuzzy logic in bioinformatics [[electronic resource] /] / Dong Xu ... [et al.]
| Applications of fuzzy logic in bioinformatics [[electronic resource] /] / Dong Xu ... [et al.] |
| Pubbl/distr/stampa | London, : Imperial College Press |
| Descrizione fisica | 1 online resource (248 p.) |
| Disciplina |
572.80285 22
570.285 |
| Altri autori (Persone) | XuDong |
| Collana | Series on advances in bioinformatics and computational biology |
| Soggetto topico |
Bioinformatics
Computational biology Fuzzy logic Fuzzy sets |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-84816-259-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Foreword; Preface; Contents; 1. Introduction to Bioinformatics; 1.1 What Is Bioinformatics; 1.2 A Brief History of Bioinformatics; 1.3 Scope of Bioinformatics.; 1.4 Major Challenges in Bioinformatics; 1.5 Bioinformatics and Computer Science; 2. Introduction to Fuzzy Set Theory and Fuzzy Logic; 2.1 Where Does Fuzzy Logic Fit in Computational Science?; 2.2 Why Do We Need to Use Fuzziness in Biology?; 2.3 Brief History of the Field.; 2.4 Fuzzy Membership Functions and Operators.; 2.4.1 Membership functions; 2.4.2 Basic fuzzy set operators.; 2.4.3 Compensatory operators.
2.5 Fuzzy Relations and Fuzzy Logic Inference.2.6 Fuzzy Clustering; 2.6.1 Fuzzy C-Means; 2.6.2 Extension to fuzzy C-Means.; 2.6.3 Possibilistic C-Means (PCM); 2.7 Fuzzy K-Nearest Neighbors; 2.8 Fuzzy Measures and Fuzzy Integrals.; 2.8.1 Fuzzy measures.; 2.8.2 Fuzzy integrals; 2.9 Summary and Final Thoughts; 3. Fuzzy Similarities in Ontologies.; 3.1 Introduction; 3.2 Definition of Ontology-Based Similarity; 3.3 Set-Based Similarity Measure.; 3.3.1 Pair-wise aggregation.; 3.3.2 Bag of words similarities.; 3.4 Fuzzy Measure Similarity 3.5 Fuzzy Measure Similarity for Augmented Sets of Ontology Objects.3.6 Choquet Fuzzy Integral Similarity Measure.; 3.7 Examples and Applications of Fuzzy Measure Similarity Using GO Terms; 3.7.1 Lymphoma case study; 3.7.2 Gene clustering using Gene Ontology annotations.; 3.7.3 Gene summarization using Gene Ontology terms.; 3.8 Ontology Similarity in Data Mining; 3.9 Discussion and Summary.; 4. Fuzzy Logic in Structural Bioinformatics; 4.1 Introduction; 4.2 Protein Secondary Structure Prediction.; 4.3 Protein Solvent Accessibility Prediction. 4.4 Protein Structure Matching Using Fuzzy Alignments 4.5 Protein Similarity Calculation Using Fuzzy Contact Maps; 4.6 Protein Structure Class Classification; 4.7 Summary.; 5. Application of Fuzzy Logic in Microarray Data Analyses.; 5.1 Introduction; 5.1.1 Microarray data description; 5.1.2 Microarray processing algorithms for gene selection and patient classification.; 5.1.3 Microarray processing algorithms for gene regulatory network discovery; 5.2 Clustering Algorithms; 5.2.1 (Dis)similarity measures for microarray data; 5.2.2 Fuzzy C-means (FCM); 5.2.3 Relational fuzzy C-means 5.2.4 Fuzzy co-clustering algorithms 5.3 Inferring Gene Networks Using Fuzzy Rule Systems; 5.4 Discussion and Summary.; 6. Other Applications.; 6.1 Overview; 6.2 Applications in Biological Sequence Analyses; 6.2.1 Protein sequence comparison; 6.2.2 Application in sequence family classification; 6.2.3 Application in motif identification.; 6.2.4 Application in protein subcellular localization prediction.; 6.2.5 Genomic structure prediction; 6.3 Application in Computational Proteomics; 6.3.1 Electrophoresis analysis.; 6.3.2 Protein identification through mass-spec; 6.4 Application in Drug Design. 6.5 Discussion and Summary. |
| Record Nr. | UNINA-9910455030403321 |
| London, : Imperial College Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of fuzzy logic in bioinformatics [[electronic resource] /] / Dong Xu ... [et al.]
| Applications of fuzzy logic in bioinformatics [[electronic resource] /] / Dong Xu ... [et al.] |
| Pubbl/distr/stampa | London, : Imperial College Press |
| Descrizione fisica | 1 online resource (248 p.) |
| Disciplina |
572.80285 22
570.285 |
| Altri autori (Persone) | XuDong |
| Collana | Series on advances in bioinformatics and computational biology |
| Soggetto topico |
Bioinformatics
Computational biology Fuzzy logic Fuzzy sets |
| ISBN | 1-84816-259-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Foreword; Preface; Contents; 1. Introduction to Bioinformatics; 1.1 What Is Bioinformatics; 1.2 A Brief History of Bioinformatics; 1.3 Scope of Bioinformatics.; 1.4 Major Challenges in Bioinformatics; 1.5 Bioinformatics and Computer Science; 2. Introduction to Fuzzy Set Theory and Fuzzy Logic; 2.1 Where Does Fuzzy Logic Fit in Computational Science?; 2.2 Why Do We Need to Use Fuzziness in Biology?; 2.3 Brief History of the Field.; 2.4 Fuzzy Membership Functions and Operators.; 2.4.1 Membership functions; 2.4.2 Basic fuzzy set operators.; 2.4.3 Compensatory operators.
2.5 Fuzzy Relations and Fuzzy Logic Inference.2.6 Fuzzy Clustering; 2.6.1 Fuzzy C-Means; 2.6.2 Extension to fuzzy C-Means.; 2.6.3 Possibilistic C-Means (PCM); 2.7 Fuzzy K-Nearest Neighbors; 2.8 Fuzzy Measures and Fuzzy Integrals.; 2.8.1 Fuzzy measures.; 2.8.2 Fuzzy integrals; 2.9 Summary and Final Thoughts; 3. Fuzzy Similarities in Ontologies.; 3.1 Introduction; 3.2 Definition of Ontology-Based Similarity; 3.3 Set-Based Similarity Measure.; 3.3.1 Pair-wise aggregation.; 3.3.2 Bag of words similarities.; 3.4 Fuzzy Measure Similarity 3.5 Fuzzy Measure Similarity for Augmented Sets of Ontology Objects.3.6 Choquet Fuzzy Integral Similarity Measure.; 3.7 Examples and Applications of Fuzzy Measure Similarity Using GO Terms; 3.7.1 Lymphoma case study; 3.7.2 Gene clustering using Gene Ontology annotations.; 3.7.3 Gene summarization using Gene Ontology terms.; 3.8 Ontology Similarity in Data Mining; 3.9 Discussion and Summary.; 4. Fuzzy Logic in Structural Bioinformatics; 4.1 Introduction; 4.2 Protein Secondary Structure Prediction.; 4.3 Protein Solvent Accessibility Prediction. 4.4 Protein Structure Matching Using Fuzzy Alignments 4.5 Protein Similarity Calculation Using Fuzzy Contact Maps; 4.6 Protein Structure Class Classification; 4.7 Summary.; 5. Application of Fuzzy Logic in Microarray Data Analyses.; 5.1 Introduction; 5.1.1 Microarray data description; 5.1.2 Microarray processing algorithms for gene selection and patient classification.; 5.1.3 Microarray processing algorithms for gene regulatory network discovery; 5.2 Clustering Algorithms; 5.2.1 (Dis)similarity measures for microarray data; 5.2.2 Fuzzy C-means (FCM); 5.2.3 Relational fuzzy C-means 5.2.4 Fuzzy co-clustering algorithms 5.3 Inferring Gene Networks Using Fuzzy Rule Systems; 5.4 Discussion and Summary.; 6. Other Applications.; 6.1 Overview; 6.2 Applications in Biological Sequence Analyses; 6.2.1 Protein sequence comparison; 6.2.2 Application in sequence family classification; 6.2.3 Application in motif identification.; 6.2.4 Application in protein subcellular localization prediction.; 6.2.5 Genomic structure prediction; 6.3 Application in Computational Proteomics; 6.3.1 Electrophoresis analysis.; 6.3.2 Protein identification through mass-spec; 6.4 Application in Drug Design. 6.5 Discussion and Summary. |
| Record Nr. | UNINA-9910778068703321 |
| London, : Imperial College Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of fuzzy logic in bioinformatics [[electronic resource] /] / Dong Xu ... [et al.]
| Applications of fuzzy logic in bioinformatics [[electronic resource] /] / Dong Xu ... [et al.] |
| Pubbl/distr/stampa | London, : Imperial College Press |
| Descrizione fisica | 1 online resource (248 p.) |
| Disciplina |
572.80285 22
570.285 |
| Altri autori (Persone) | XuDong |
| Collana | Series on advances in bioinformatics and computational biology |
| Soggetto topico |
Bioinformatics
Computational biology Fuzzy logic Fuzzy sets |
| ISBN | 1-84816-259-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Foreword; Preface; Contents; 1. Introduction to Bioinformatics; 1.1 What Is Bioinformatics; 1.2 A Brief History of Bioinformatics; 1.3 Scope of Bioinformatics.; 1.4 Major Challenges in Bioinformatics; 1.5 Bioinformatics and Computer Science; 2. Introduction to Fuzzy Set Theory and Fuzzy Logic; 2.1 Where Does Fuzzy Logic Fit in Computational Science?; 2.2 Why Do We Need to Use Fuzziness in Biology?; 2.3 Brief History of the Field.; 2.4 Fuzzy Membership Functions and Operators.; 2.4.1 Membership functions; 2.4.2 Basic fuzzy set operators.; 2.4.3 Compensatory operators.
2.5 Fuzzy Relations and Fuzzy Logic Inference.2.6 Fuzzy Clustering; 2.6.1 Fuzzy C-Means; 2.6.2 Extension to fuzzy C-Means.; 2.6.3 Possibilistic C-Means (PCM); 2.7 Fuzzy K-Nearest Neighbors; 2.8 Fuzzy Measures and Fuzzy Integrals.; 2.8.1 Fuzzy measures.; 2.8.2 Fuzzy integrals; 2.9 Summary and Final Thoughts; 3. Fuzzy Similarities in Ontologies.; 3.1 Introduction; 3.2 Definition of Ontology-Based Similarity; 3.3 Set-Based Similarity Measure.; 3.3.1 Pair-wise aggregation.; 3.3.2 Bag of words similarities.; 3.4 Fuzzy Measure Similarity 3.5 Fuzzy Measure Similarity for Augmented Sets of Ontology Objects.3.6 Choquet Fuzzy Integral Similarity Measure.; 3.7 Examples and Applications of Fuzzy Measure Similarity Using GO Terms; 3.7.1 Lymphoma case study; 3.7.2 Gene clustering using Gene Ontology annotations.; 3.7.3 Gene summarization using Gene Ontology terms.; 3.8 Ontology Similarity in Data Mining; 3.9 Discussion and Summary.; 4. Fuzzy Logic in Structural Bioinformatics; 4.1 Introduction; 4.2 Protein Secondary Structure Prediction.; 4.3 Protein Solvent Accessibility Prediction. 4.4 Protein Structure Matching Using Fuzzy Alignments 4.5 Protein Similarity Calculation Using Fuzzy Contact Maps; 4.6 Protein Structure Class Classification; 4.7 Summary.; 5. Application of Fuzzy Logic in Microarray Data Analyses.; 5.1 Introduction; 5.1.1 Microarray data description; 5.1.2 Microarray processing algorithms for gene selection and patient classification.; 5.1.3 Microarray processing algorithms for gene regulatory network discovery; 5.2 Clustering Algorithms; 5.2.1 (Dis)similarity measures for microarray data; 5.2.2 Fuzzy C-means (FCM); 5.2.3 Relational fuzzy C-means 5.2.4 Fuzzy co-clustering algorithms 5.3 Inferring Gene Networks Using Fuzzy Rule Systems; 5.4 Discussion and Summary.; 6. Other Applications.; 6.1 Overview; 6.2 Applications in Biological Sequence Analyses; 6.2.1 Protein sequence comparison; 6.2.2 Application in sequence family classification; 6.2.3 Application in motif identification.; 6.2.4 Application in protein subcellular localization prediction.; 6.2.5 Genomic structure prediction; 6.3 Application in Computational Proteomics; 6.3.1 Electrophoresis analysis.; 6.3.2 Protein identification through mass-spec; 6.4 Application in Drug Design. 6.5 Discussion and Summary. |
| Record Nr. | UNINA-9910815589003321 |
| London, : Imperial College Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||