Algorithms in bioinformatics : 8th international workshop, WABI 2008, Karlsruhe, Germany, September 15-19, 2008, proceedings / / Keith Crandall, Jens Lagergren (Eds.) |
Edizione | [1st ed. 2008.] |
Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2008] |
Descrizione fisica | 1 online resource (XIII, 396 p.) |
Disciplina | 572.80285 |
Collana | Lecture Notes in Bioinformatics |
Soggetto topico |
Computer algorithms
Bioinformatics - Mathematics |
ISBN | 3-540-87361-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Multichromosomal Genome Median and Halving Problems -- A Branch-and-Bound Method for the Multichromosomal Reversal Median Problem -- Decompositions of Multiple Breakpoint Graphs and Rapid Exact Solutions to the Median Problem -- Read Mapping Algorithms for Single Molecule Sequencing Data -- Exact Transcriptome Reconstruction from Short Sequence Reads -- Post-Hybridization Quality Measures for Oligos in Genome-Wide Microarray Experiments -- NAPX: A Polynomial Time Approximation Scheme for the Noah’s Ark Problem -- Minimum Common String Partition Parameterized -- Hardness and Approximability of the Inverse Scope Problem -- Rapid Neighbour-Joining -- Efficiently Computing Arbitrarily-Sized Robinson-Foulds Distance Matrices -- Efficient Genome Wide Tagging by Reduction to SAT -- Computing the Minimal Tiling Path from a Physical Map by Integer Linear Programming -- An Efficient Lagrangian Relaxation for the Contact Map Overlap Problem -- A Faster Algorithm for RNA Co-folding -- An Automated Combination of Kernels for Predicting Protein Subcellular Localization -- Fast Target Set Reduction for Large-Scale Protein Function Prediction: A Multi-class Multi-label Machine Learning Approach -- Multiple Instance Learning Allows MHC Class II Epitope Predictions Across Alleles -- An Algorithm for Orienting Graphs Based on Cause-Effect Pairs and Its Applications to Orienting Protein Networks -- Enumerating Precursor Sets of Target Metabolites in a Metabolic Network -- Boosting the Performance of Inference Algorithms for Transcriptional Regulatory Networks Using a Phylogenetic Approach -- Fast Bayesian Haplotype Inference Via Context Tree Weighting -- Genotype Sequence Segmentation: Handling Constraints and Noise -- Constructing Phylogenetic Supernetworks from Quartets -- Summarizing Multiple Gene Trees Using Cluster Networks -- Fast and Adaptive Variable Order Markov Chain Construction -- Computing Alignment Seed Sensitivity with Probabilistic Arithmetic Automata -- The Relation between Indel Length and Functional Divergence: A Formal Study -- Detecting Repeat Families in Incompletely Sequenced Genomes -- Novel Phylogenetic Network Inference by Combining Maximum Likelihood and Hidden Markov Models -- A Local Move Set for Protein Folding in Triangular Lattice Models -- Protein Decoy Generation Using Branch and Bound with Efficient Bounding. |
Record Nr. | UNISA-996466337403316 |
Berlin ; ; Heidelberg : , : Springer, , [2008] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Algorithms in bioinformatics : 8th international workshop, WABI 2008, Karlsruhe, Germany, September 15-19, 2008, proceedings / / Keith Crandall, Jens Lagergren (Eds.) |
Edizione | [1st ed. 2008.] |
Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2008] |
Descrizione fisica | 1 online resource (XIII, 396 p.) |
Disciplina | 572.80285 |
Collana | Lecture Notes in Bioinformatics |
Soggetto topico |
Computer algorithms
Bioinformatics - Mathematics |
ISBN | 3-540-87361-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Multichromosomal Genome Median and Halving Problems -- A Branch-and-Bound Method for the Multichromosomal Reversal Median Problem -- Decompositions of Multiple Breakpoint Graphs and Rapid Exact Solutions to the Median Problem -- Read Mapping Algorithms for Single Molecule Sequencing Data -- Exact Transcriptome Reconstruction from Short Sequence Reads -- Post-Hybridization Quality Measures for Oligos in Genome-Wide Microarray Experiments -- NAPX: A Polynomial Time Approximation Scheme for the Noah’s Ark Problem -- Minimum Common String Partition Parameterized -- Hardness and Approximability of the Inverse Scope Problem -- Rapid Neighbour-Joining -- Efficiently Computing Arbitrarily-Sized Robinson-Foulds Distance Matrices -- Efficient Genome Wide Tagging by Reduction to SAT -- Computing the Minimal Tiling Path from a Physical Map by Integer Linear Programming -- An Efficient Lagrangian Relaxation for the Contact Map Overlap Problem -- A Faster Algorithm for RNA Co-folding -- An Automated Combination of Kernels for Predicting Protein Subcellular Localization -- Fast Target Set Reduction for Large-Scale Protein Function Prediction: A Multi-class Multi-label Machine Learning Approach -- Multiple Instance Learning Allows MHC Class II Epitope Predictions Across Alleles -- An Algorithm for Orienting Graphs Based on Cause-Effect Pairs and Its Applications to Orienting Protein Networks -- Enumerating Precursor Sets of Target Metabolites in a Metabolic Network -- Boosting the Performance of Inference Algorithms for Transcriptional Regulatory Networks Using a Phylogenetic Approach -- Fast Bayesian Haplotype Inference Via Context Tree Weighting -- Genotype Sequence Segmentation: Handling Constraints and Noise -- Constructing Phylogenetic Supernetworks from Quartets -- Summarizing Multiple Gene Trees Using Cluster Networks -- Fast and Adaptive Variable Order Markov Chain Construction -- Computing Alignment Seed Sensitivity with Probabilistic Arithmetic Automata -- The Relation between Indel Length and Functional Divergence: A Formal Study -- Detecting Repeat Families in Incompletely Sequenced Genomes -- Novel Phylogenetic Network Inference by Combining Maximum Likelihood and Hidden Markov Models -- A Local Move Set for Protein Folding in Triangular Lattice Models -- Protein Decoy Generation Using Branch and Bound with Efficient Bounding. |
Record Nr. | UNINA-9910483018603321 |
Berlin ; ; Heidelberg : , : Springer, , [2008] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Integrative cluster analysis in bioinformatics / / Basel Abu Jamous, Dr Rui Fa, and Prof. Asoke K. Nandi |
Autore | Abu Jamous Basel |
Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : John Wiley & Sons Inc., , 2015 |
Descrizione fisica | 1 online resource (994 p.) |
Disciplina | 519.5/3 |
Soggetto topico |
Bioinformatics - Mathematics
Cluster analysis |
ISBN |
1-118-90655-1
1-118-90654-3 1-118-90656-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Table of Contents; Title page; Preface; List of Symbols; About the Authors; Part One: Introduction; 1 Introduction to Bioinformatics; 1.1 Introduction; 1.2 The "Omics" Era; 1.3 The Scope of Bioinformatics; 1.4 What Do Information Engineers and Biologists Need to Know?; 1.5 Discussion and Summary; References; 2 Computational Methods in Bioinformatics; 2.1 Introduction; 2.2 Machine Learning and Data Mining; 2.3 Optimisation; 2.4 Image Processing: Bioimage Informatics; 2.5 Network Analysis; 2.6 Statistical Analysis; 2.7 Software Tools and Technologies; 2.8 Discussion and Summary
ReferencesPart Two: Introduction to Molecular Biology; 3 The Living Cell; 3.1 Introduction; 3.2 Prokaryotes and Eukaryotes; 3.3 Multicellularity; 3.4 Cell Components; 3.5 Discussion and Summary; References; 4 Central Dogma of Molecular Biology; 4.1 Introduction; 4.2 Central Dogma of Molecular Biology Overview; 4.3 Proteins; 4.4 DNA; 4.5 RNA; 4.6 Genes; 4.7 Transcription and Post-transcriptional Processes; 4.8 Translation and Post-translational Processes; 4.9 Discussion and Summary; References; Part Three: Data Acquisition and Pre-processing; 5 High-throughput Technologies; 5.1 Introduction 5.2 Microarrays5.3 Next-generation Sequencing (NGS); 5.4 ChIP on Microarrays and Sequencing; 5.5 Discussion and Summary; References; 6 Databases, Standards and Annotation; 6.1 Introduction; 6.2 NCBI Databases; 6.3 The EBI Databases; 6.4 Species-specific Databases; 6.5 Discussion and Summary; References; 7 Normalisation; 7.1 Introduction; 7.2 Issues Tackled by Normalisation; 7.3 Normalisation Methods; 7.4 Discussion and Summary; References; 8 Feature Selection; 8.1 Introduction; 8.2 FS and FG - Problem Definition; 8.3 Consecutive Ranking; 8.4 Individual Ranking 8.5 Principal Component Analysis8.6 Genetic Algorithms and Genetic Programming; 8.7 Discussion and Summary; References; 9 Differential Expression; 9.1 Introduction; 9.2 Fold Change; 9.3 Statistical Hypothesis Testing - Overview; 9.4 Statistical Hypothesis Testing - Methods; 9.5 Discussion and Summary; References; Part Four: Clustering Methods; 10 Clustering Forms; 10.1 Introduction; 10.2 Proximity Measures; 10.3 Clustering Families; 10.4 Clusters and Partitions; 10.5 Discussion and Summary; References; 11 Partitional Clustering; 11.1 Introduction; 11.2 k-Means and its Applications 11.3 k-Medoids and its Applications11.4 Discussion and Summary; References; 12 Hierarchical Clustering; 12.1 Introduction; 12.2 Principles; 12.3 Discussion and Summary; References; 13 Fuzzy Clustering; 13.1 Introduction; 13.2 Principles; 13.3 Discussion; References; 14 Neural Network-based Clustering; 14.1 Introduction; 14.2 Algorithms; 14.3 Discussion; References; 15 Mixture Model Clustering; 15.1 Introduction; 15.2 Finite Mixture Models; 15.3 Infinite Mixture Models; 15.4 Discussion; References; 16 Graph Clustering; 16.1 Introduction; 16.2 Basic Definitions; 16.3 Graph Clustering 16.4 Resources |
Record Nr. | UNINA-9910131284203321 |
Abu Jamous Basel | ||
Chichester, West Sussex, United Kingdom : , : John Wiley & Sons Inc., , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Integrative cluster analysis in bioinformatics / / Basel Abu Jamous, Dr Rui Fa, and Prof. Asoke K. Nandi |
Autore | Abu Jamous Basel |
Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : John Wiley & Sons Inc., , 2015 |
Descrizione fisica | 1 online resource (994 p.) |
Disciplina | 519.5/3 |
Soggetto topico |
Bioinformatics - Mathematics
Cluster analysis |
ISBN |
1-118-90655-1
1-118-90654-3 1-118-90656-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Table of Contents; Title page; Preface; List of Symbols; About the Authors; Part One: Introduction; 1 Introduction to Bioinformatics; 1.1 Introduction; 1.2 The "Omics" Era; 1.3 The Scope of Bioinformatics; 1.4 What Do Information Engineers and Biologists Need to Know?; 1.5 Discussion and Summary; References; 2 Computational Methods in Bioinformatics; 2.1 Introduction; 2.2 Machine Learning and Data Mining; 2.3 Optimisation; 2.4 Image Processing: Bioimage Informatics; 2.5 Network Analysis; 2.6 Statistical Analysis; 2.7 Software Tools and Technologies; 2.8 Discussion and Summary
ReferencesPart Two: Introduction to Molecular Biology; 3 The Living Cell; 3.1 Introduction; 3.2 Prokaryotes and Eukaryotes; 3.3 Multicellularity; 3.4 Cell Components; 3.5 Discussion and Summary; References; 4 Central Dogma of Molecular Biology; 4.1 Introduction; 4.2 Central Dogma of Molecular Biology Overview; 4.3 Proteins; 4.4 DNA; 4.5 RNA; 4.6 Genes; 4.7 Transcription and Post-transcriptional Processes; 4.8 Translation and Post-translational Processes; 4.9 Discussion and Summary; References; Part Three: Data Acquisition and Pre-processing; 5 High-throughput Technologies; 5.1 Introduction 5.2 Microarrays5.3 Next-generation Sequencing (NGS); 5.4 ChIP on Microarrays and Sequencing; 5.5 Discussion and Summary; References; 6 Databases, Standards and Annotation; 6.1 Introduction; 6.2 NCBI Databases; 6.3 The EBI Databases; 6.4 Species-specific Databases; 6.5 Discussion and Summary; References; 7 Normalisation; 7.1 Introduction; 7.2 Issues Tackled by Normalisation; 7.3 Normalisation Methods; 7.4 Discussion and Summary; References; 8 Feature Selection; 8.1 Introduction; 8.2 FS and FG - Problem Definition; 8.3 Consecutive Ranking; 8.4 Individual Ranking 8.5 Principal Component Analysis8.6 Genetic Algorithms and Genetic Programming; 8.7 Discussion and Summary; References; 9 Differential Expression; 9.1 Introduction; 9.2 Fold Change; 9.3 Statistical Hypothesis Testing - Overview; 9.4 Statistical Hypothesis Testing - Methods; 9.5 Discussion and Summary; References; Part Four: Clustering Methods; 10 Clustering Forms; 10.1 Introduction; 10.2 Proximity Measures; 10.3 Clustering Families; 10.4 Clusters and Partitions; 10.5 Discussion and Summary; References; 11 Partitional Clustering; 11.1 Introduction; 11.2 k-Means and its Applications 11.3 k-Medoids and its Applications11.4 Discussion and Summary; References; 12 Hierarchical Clustering; 12.1 Introduction; 12.2 Principles; 12.3 Discussion and Summary; References; 13 Fuzzy Clustering; 13.1 Introduction; 13.2 Principles; 13.3 Discussion; References; 14 Neural Network-based Clustering; 14.1 Introduction; 14.2 Algorithms; 14.3 Discussion; References; 15 Mixture Model Clustering; 15.1 Introduction; 15.2 Finite Mixture Models; 15.3 Infinite Mixture Models; 15.4 Discussion; References; 16 Graph Clustering; 16.1 Introduction; 16.2 Basic Definitions; 16.3 Graph Clustering 16.4 Resources |
Record Nr. | UNINA-9910821677103321 |
Abu Jamous Basel | ||
Chichester, West Sussex, United Kingdom : , : John Wiley & Sons Inc., , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|