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.
Analysis of biological data [[electronic resource] ] : a soft computing approach / / editors, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason T.L. Wang
| Analysis of biological data [[electronic resource] ] : a soft computing approach / / editors, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason T.L. Wang |
| Pubbl/distr/stampa | Singapore ; ; Hong Kong, : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (352 p.) |
| Disciplina | 570.28563 |
| Altri autori (Persone) |
BandyopadhyaySanghamitra <1968->
MaulikUjjwal WangJason T. L |
| Collana | Science, engineering, and biology informatics |
| Soggetto topico |
Bioinformatics
Soft computing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-91864-4
9786611918644 981-270-889-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Preface; Part I OVERVIEW; Chapter 1 Bioinformatics: Mining the Massive Data from High Throughput Genomics Experiments Haixu Tang and Sun Kim; 1 Introduction; 2 Recent Development of Classical Topics; 2.1 Sequence alignment; 2.2 Genome sequencing and fragment assembly; 2.3 Gene annotation; 2.4 RNA folding; 2.5 Motif finding; 2.6 Protein structure prediction; 3 Emerging Topics from New Genome Technologies; 3.1 Comparative genomics: beyond genome comparison; 3.2 Pathway reconstruction; 3.3 Microarray analysis; 3.4 Proteomics; 3.5 Protein-protein interaction; 4 Conclusion
AcknowledgementReferences; Chapter 2 An Introduction to Soft Computing Amit Konar and Swagatam Das; 1 Classical AI and its Pitfalls; 2 What is Soft Computing?; 3 Fundamental Components of Soft Computing; 3.1 Fuzzy sets and fuzzy logic; 3.2 Neural networks; 3.3 Genetic algorithms; 3.4 Belief networks; 4 Synergism in Soft Computing; 4.1 Neuro-fuzzy synergism; 4.2 Neuro-GA synergism; 4.3 Fuzzy-GA synergism; 4.4 Neuro-belief network synergism; 4.5 GA-belief network synergism; 4.6 Neuro-fuzzy-GA synergism; 5 Some Emerging Areas of Soft Computing; 5.1 Artificial life 5.2 Particle swarm optimization (PSO)5.3 Artificial immune system; 5.4 Rough sets and granular computing; 5.5 Chaos theory; 5.6 Ant colony systems (ACS); 6 Summary; References; Part II BIOLOGICAL SEQUENCE AND STRUCTURE ANALYSIS; Chapter 3 Reconstructing Phylogenies with Memetic Algorithms and Branch-and-Bound José E. Gallardo, Carlos Cotta and Antonio J. Fernández; 1 Introduction; 2 A Crash Introduction to Phylogenetic Inference; 3 Evolutionary Algorithms for the Phylogeny Problem; 4 A BnB Algorithm for Phylogenetic Inference; 5 A Memetic Algorithm for Phylogenetic Inference 6 A Hybrid Algorithm7 Experimental Results; 7.1 Experimental setting; 7.2 Sensitivity analysis on the hybrid algorithm; 7.3 Analysis of results; 8 Conclusions; Acknowledgment; References; Chapter 4 Classification ofRNASequences with Support Vector Machines Jason T. L. Wang and Xiaoming Wu; 1 Introduction; 2 Count Kernels and Marginalized Count Kernels; 2.1 RNA sequences with known secondary structures; 2.2 RNA sequences with unknown secondary structures; 3 Kernel Based on Labeled Dual Graphs; 3.1 Labeled dual graphs; 3.2 Marginalized kernel for labeled dual graphs; 4 A New Kernel 4.1 Extracting features for global structural information4.2 Extracting features for local structural information; 5 Experiments and Results; 5.1 Data and parameters; 5.2 Results; 6 Conclusion; Acknowledgment; References; Chapter 5 Beyond String Algorithms: Protein Sequence Analysis using Wavelet Transforms Arun Krishnan and Kuo-Bin Li; 1 Introduction; 1.1 String algorithms; 1.2 Sequence analysis; 1.3 Wavelet transform; 2 Motif Searching; 2.1 Introduction; 2.2 Methods; 2.3 Results; 2.4 Allergenicity prediction; 3 Transmembrane Helix Region (HTM) Prediction; 4 Hydrophobic Cores 5 Protein Repeat Motifs |
| Record Nr. | UNINA-9910451542303321 |
| Singapore ; ; Hong Kong, : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analysis of biological data [[electronic resource] ] : a soft computing approach / / editors, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason T.L. Wang
| Analysis of biological data [[electronic resource] ] : a soft computing approach / / editors, Sanghamitra Bandyopadhyay, Ujjwal Maulik, Jason T.L. Wang |
| Pubbl/distr/stampa | Singapore ; ; Hong Kong, : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (352 p.) |
| Disciplina | 570.28563 |
| Altri autori (Persone) |
BandyopadhyaySanghamitra <1968->
MaulikUjjwal WangJason T. L |
| Collana | Science, engineering, and biology informatics |
| Soggetto topico |
Bioinformatics
Soft computing |
| ISBN |
1-281-91864-4
9786611918644 981-270-889-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Preface; Part I OVERVIEW; Chapter 1 Bioinformatics: Mining the Massive Data from High Throughput Genomics Experiments Haixu Tang and Sun Kim; 1 Introduction; 2 Recent Development of Classical Topics; 2.1 Sequence alignment; 2.2 Genome sequencing and fragment assembly; 2.3 Gene annotation; 2.4 RNA folding; 2.5 Motif finding; 2.6 Protein structure prediction; 3 Emerging Topics from New Genome Technologies; 3.1 Comparative genomics: beyond genome comparison; 3.2 Pathway reconstruction; 3.3 Microarray analysis; 3.4 Proteomics; 3.5 Protein-protein interaction; 4 Conclusion
AcknowledgementReferences; Chapter 2 An Introduction to Soft Computing Amit Konar and Swagatam Das; 1 Classical AI and its Pitfalls; 2 What is Soft Computing?; 3 Fundamental Components of Soft Computing; 3.1 Fuzzy sets and fuzzy logic; 3.2 Neural networks; 3.3 Genetic algorithms; 3.4 Belief networks; 4 Synergism in Soft Computing; 4.1 Neuro-fuzzy synergism; 4.2 Neuro-GA synergism; 4.3 Fuzzy-GA synergism; 4.4 Neuro-belief network synergism; 4.5 GA-belief network synergism; 4.6 Neuro-fuzzy-GA synergism; 5 Some Emerging Areas of Soft Computing; 5.1 Artificial life 5.2 Particle swarm optimization (PSO)5.3 Artificial immune system; 5.4 Rough sets and granular computing; 5.5 Chaos theory; 5.6 Ant colony systems (ACS); 6 Summary; References; Part II BIOLOGICAL SEQUENCE AND STRUCTURE ANALYSIS; Chapter 3 Reconstructing Phylogenies with Memetic Algorithms and Branch-and-Bound José E. Gallardo, Carlos Cotta and Antonio J. Fernández; 1 Introduction; 2 A Crash Introduction to Phylogenetic Inference; 3 Evolutionary Algorithms for the Phylogeny Problem; 4 A BnB Algorithm for Phylogenetic Inference; 5 A Memetic Algorithm for Phylogenetic Inference 6 A Hybrid Algorithm7 Experimental Results; 7.1 Experimental setting; 7.2 Sensitivity analysis on the hybrid algorithm; 7.3 Analysis of results; 8 Conclusions; Acknowledgment; References; Chapter 4 Classification ofRNASequences with Support Vector Machines Jason T. L. Wang and Xiaoming Wu; 1 Introduction; 2 Count Kernels and Marginalized Count Kernels; 2.1 RNA sequences with known secondary structures; 2.2 RNA sequences with unknown secondary structures; 3 Kernel Based on Labeled Dual Graphs; 3.1 Labeled dual graphs; 3.2 Marginalized kernel for labeled dual graphs; 4 A New Kernel 4.1 Extracting features for global structural information4.2 Extracting features for local structural information; 5 Experiments and Results; 5.1 Data and parameters; 5.2 Results; 6 Conclusion; Acknowledgment; References; Chapter 5 Beyond String Algorithms: Protein Sequence Analysis using Wavelet Transforms Arun Krishnan and Kuo-Bin Li; 1 Introduction; 1.1 String algorithms; 1.2 Sequence analysis; 1.3 Wavelet transform; 2 Motif Searching; 2.1 Introduction; 2.2 Methods; 2.3 Results; 2.4 Allergenicity prediction; 3 Transmembrane Helix Region (HTM) Prediction; 4 Hydrophobic Cores 5 Protein Repeat Motifs |
| Record Nr. | UNINA-9910784816603321 |
| Singapore ; ; Hong Kong, : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational intelligence and pattern analysis in biology informatics [[electronic resource] /] / edited by Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. Wang
| Computational intelligence and pattern analysis in biology informatics [[electronic resource] /] / edited by Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. Wang |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, NJ, : John Wiley & Sons, c2010 |
| Descrizione fisica | 1 online resource (395 p.) |
| Disciplina | 570.285 |
| Altri autori (Persone) |
MaulikUjjwal
BandyopadhyaySanghamitra <1968-> WangJason T. L |
| Collana | Wiley Series in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computational biology Artificial intelligence Pattern recognition systems |
| ISBN |
1-282-72891-1
9786612728914 0-470-87235-7 0-470-87234-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
COMPUTATIONAL INTELLIGENCE AND PATTERN ANALYSIS IN BIOLOGICAL INFORMATICS; CONTENTS; Preface; Contributors; PART I INTRODUCTION; 1 Computational Intelligence: Foundations, Perspectives, and Recent Trends; 2 Fundamentals of Pattern Analysis: A Brief Overview; 3 Biological Informatics: Data, Tools, and Applications; PART II SEQUENCE ANALYSIS; 4 Promoter Recognition Using Neural Network Approaches; 5 Predicting microRNA Prostate Cancer Target Genes; PART III STRUCTURE ANALYSIS; 6 Structural Search in RNA Motif Databases; 7 Kernels on Protein Structures
8 Characterization of Conformational Patterns in Active and Inactive Forms of Kinases using Protein Blocks Approach9 Kernel Function Applications in Cheminformatics; 10 In Silico Drug Design Using a Computational Intelligence Technique; PART IV MICROARRAY DATA ANALYSIS; 11 Integrated Differential Fuzzy Clustering for Analysis of Microarray Data; 12 Identifying Potential Gene Markers Using SVM Classifier Ensemble; 13 Gene Microarray Data Analysis Using Parallel Point Symmetry-Based Clustering; PART V SYSTEMS BIOLOGY; 14 Techniques for Prioritization of Candidate Disease Genes 15 Prediction of Protein-Protein Interactions16 Analyzing Topological Properties of Protein-Protein Interaction Networks: A Perspective Toward Systems Biology; Index; Wiley Series on Bioinformatics: Computational Techniques and Engineering |
| Record Nr. | UNINA-9910140822003321 |
| Hoboken, NJ, : John Wiley & Sons, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational intelligence and pattern analysis in biology informatics / / edited by Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. Wang
| Computational intelligence and pattern analysis in biology informatics / / edited by Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. Wang |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, NJ, : John Wiley & Sons, c2010 |
| Descrizione fisica | 1 online resource (395 p.) |
| Disciplina | 570.285 |
| Altri autori (Persone) |
MaulikUjjwal
BandyopadhyaySanghamitra <1968-> WangJason T. L |
| Collana | Wiley Series in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computational biology Artificial intelligence Pattern recognition systems |
| ISBN |
1-282-72891-1
9786612728914 0-470-87235-7 0-470-87234-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
COMPUTATIONAL INTELLIGENCE AND PATTERN ANALYSIS IN BIOLOGICAL INFORMATICS; CONTENTS; Preface; Contributors; PART I INTRODUCTION; 1 Computational Intelligence: Foundations, Perspectives, and Recent Trends; 2 Fundamentals of Pattern Analysis: A Brief Overview; 3 Biological Informatics: Data, Tools, and Applications; PART II SEQUENCE ANALYSIS; 4 Promoter Recognition Using Neural Network Approaches; 5 Predicting microRNA Prostate Cancer Target Genes; PART III STRUCTURE ANALYSIS; 6 Structural Search in RNA Motif Databases; 7 Kernels on Protein Structures
8 Characterization of Conformational Patterns in Active and Inactive Forms of Kinases using Protein Blocks Approach9 Kernel Function Applications in Cheminformatics; 10 In Silico Drug Design Using a Computational Intelligence Technique; PART IV MICROARRAY DATA ANALYSIS; 11 Integrated Differential Fuzzy Clustering for Analysis of Microarray Data; 12 Identifying Potential Gene Markers Using SVM Classifier Ensemble; 13 Gene Microarray Data Analysis Using Parallel Point Symmetry-Based Clustering; PART V SYSTEMS BIOLOGY; 14 Techniques for Prioritization of Candidate Disease Genes 15 Prediction of Protein-Protein Interactions16 Analyzing Topological Properties of Protein-Protein Interaction Networks: A Perspective Toward Systems Biology; Index; Wiley Series on Bioinformatics: Computational Techniques and Engineering |
| Record Nr. | UNINA-9910822611603321 |
| Hoboken, NJ, : John Wiley & Sons, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern recognition and machine intelligence : First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005 : proceedings / / Sankar K. Pal, Sanghamitra Bandyopadhyay, Sambhunath Biswas (eds.)
| Pattern recognition and machine intelligence : First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005 : proceedings / / Sankar K. Pal, Sanghamitra Bandyopadhyay, Sambhunath Biswas (eds.) |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, : Springer-Verlag, c2005 |
| Descrizione fisica | 1 online resource (XXIV, 808 p.) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
PalSankar K
BandyopadhyaySanghamitra <1968-> BiswasSambhunath |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Pattern perception
Artificial intelligence Image processing |
| ISBN | 3-540-32420-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Papers -- Invited Papers -- Contributory Papers Clustering, Feature Selection and Learning -- Classification -- Neural Networks and Applications -- Fuzzy Logic and Applications -- Optimization and Representation -- Image Processing and Analysis -- Video Processing and Computer Vision -- Image Retrieval and Data Mining -- Bioinformatics Application -- Web Intelligence and Genetic Algorithms -- Rough Sets, Case-Based Reasoning and Knowledge Discovery. |
| Altri titoli varianti | PReMI 2005 |
| Record Nr. | UNINA-9910484076803321 |
| Berlin, : Springer-Verlag, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||