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Evolutionary computation, machine learning and data mining in bioinformatics : 5th European conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007 : proceedings / / Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse (eds.)
| Evolutionary computation, machine learning and data mining in bioinformatics : 5th European conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007 : proceedings / / Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse (eds.) |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2007 |
| Descrizione fisica | 1 online resource (XI, 302 p.) |
| Disciplina | 572.80285/6 |
| Altri autori (Persone) |
MarchioriE
MooreJason H RajapakseJagath Chandana |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Bioinformatics
Artificial intelligence - Biological applications Computational biology Evolutionary computation Data mining |
| ISBN | 3-540-71783-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Identifying Regulatory Sites Using Neighborhood Species -- Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs -- Hypothesis Testing with Classifier Systems for Rule-Based Risk Prediction -- Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data -- One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification -- Understanding Signal Sequences with Machine Learning -- Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization -- Modeling Genetic Networks: Comparison of Static and Dynamic Models -- A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data -- Modeling the Shoot Apical Meristem in A. thaliana: Parameter Estimation for Spatial Pattern Formation -- Evolutionary Search for Improved Path Diagrams -- Simplifying Amino Acid Alphabets Using a Genetic Algorithm and Sequence Alignment -- Towards Evolutionary Network Reconstruction Tools for Systems Biology -- A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction Sites -- Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks -- Tuning ReliefF for Genome-Wide Genetic Analysis -- Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms -- Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines -- Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines -- Inverse Protein Folding on 2D Off-Lattice Model: Initial Results and Perspectives -- Virtual Error: A New Measure for Evolutionary Biclustering -- Characterising DNA/RNA Signals with Crisp Hypermotifs: A Case Study on Core Promoters -- Evaluating Evolutionary Algorithms and Differential Evolution for the Online Optimization of Fermentation Processes -- The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms -- Classification of Cell Fates with Support Vector Machine Learning -- Reconstructing Linear Gene Regulatory Networks -- Individual-Based Modeling of Bacterial Foraging with Quorum Sensing in a Time-Varying Environment -- Substitution Matrix Optimisation for Peptide Classification. |
| Altri titoli varianti | EvoBIO 2007 |
| Record Nr. | UNINA-9910484036003321 |
| Berlin ; ; New York, : Springer, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning in bioinformatics [[electronic resource] /] / edited by Yan-Qing Zhang, Jagath C. Rajapakse
| Machine learning in bioinformatics [[electronic resource] /] / edited by Yan-Qing Zhang, Jagath C. Rajapakse |
| Autore | Zhang Yan-Qing |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2009 |
| Descrizione fisica | 1 online resource (476 p.) |
| Disciplina | 572.80285/61 |
| Altri autori (Persone) | RajapakseJagath Chandana |
| Collana | Wiley series on bioinformatics |
| Soggetto topico |
Bioinformatics
Machine learning |
| ISBN |
1-282-03070-1
9786612030703 0-470-39742-X 0-470-39741-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
MACHINE LEARNING IN BIOINFORMATICS; CONTENTS; Foreword; Preface; Contributors; 1 Feature Selection for Genomic and Proteomic Data Mining; 2 Comparing and Visualizing Gene Selection and Classification Methods for Microarray Data; 3 Adaptive Kernel Classifiers Via Matrix Decomposition Updating for Biological Data Analysis; 4 Bootstrapping Consistency Method for Optimal Gene Selection from Microarray Gene Expression Data for Classification Problems; 5 Fuzzy Gene Mining: A Fuzzy-Based Framework for Cancer Microarray Data Analysis; 6 Feature Selection for Ensemble Learning and Its Application
7 Sequence-Based Prediction of Residue-Level Properties in Proteins8 Consensus Approaches to Protein Structure Prediction; 9 Kernel Methods in Protein Structure Prediction; 10 Evolutionary Granular Kernel Trees for Protein Subcellular Location Prediction; 11 Probabilistic Models for Long-Range Features in Biosequences; 12 Neighborhood Profile Search for Motif Refinement; 13 Markov/Neural Model for Eukaryotic Promoter Recognition; 14 Eukaryotic Promoter Detection Based on Word and Sequence Feature Selection and Combination 15 Feature Characterization and Testing of Bidirectional Promoters in the Human Genome-Significance and Applications in Human Genome Research16 Supervised Learning Methods for MicroRNA Studies; 17 Machine Learning for Computational Haplotype Analysis; 18 Machine Learning Applications in SNP-Disease Association Study; 19 Nanopore Cheminformatics-Based Studies of Individual Molecular Interactions; 20 An Information Fusion Framework for Biomedical Informatics; Index |
| Record Nr. | UNINA-9910145957003321 |
Zhang Yan-Qing
|
||
| Hoboken, N.J., : Wiley, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning in bioinformatics / / edited by Yan-Qing Zhang, Jagath C. Rajapakse
| Machine learning in bioinformatics / / edited by Yan-Qing Zhang, Jagath C. Rajapakse |
| Autore | Zhang Yan-Qing |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, c2009 |
| Descrizione fisica | 1 online resource (476 p.) |
| Disciplina | 572.80285/61 |
| Altri autori (Persone) | RajapakseJagath Chandana |
| Collana | Wiley series on bioinformatics |
| Soggetto topico |
Bioinformatics
Machine learning |
| ISBN |
1-282-03070-1
9786612030703 0-470-39742-X 0-470-39741-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
MACHINE LEARNING IN BIOINFORMATICS; CONTENTS; Foreword; Preface; Contributors; 1 Feature Selection for Genomic and Proteomic Data Mining; 2 Comparing and Visualizing Gene Selection and Classification Methods for Microarray Data; 3 Adaptive Kernel Classifiers Via Matrix Decomposition Updating for Biological Data Analysis; 4 Bootstrapping Consistency Method for Optimal Gene Selection from Microarray Gene Expression Data for Classification Problems; 5 Fuzzy Gene Mining: A Fuzzy-Based Framework for Cancer Microarray Data Analysis; 6 Feature Selection for Ensemble Learning and Its Application
7 Sequence-Based Prediction of Residue-Level Properties in Proteins8 Consensus Approaches to Protein Structure Prediction; 9 Kernel Methods in Protein Structure Prediction; 10 Evolutionary Granular Kernel Trees for Protein Subcellular Location Prediction; 11 Probabilistic Models for Long-Range Features in Biosequences; 12 Neighborhood Profile Search for Motif Refinement; 13 Markov/Neural Model for Eukaryotic Promoter Recognition; 14 Eukaryotic Promoter Detection Based on Word and Sequence Feature Selection and Combination 15 Feature Characterization and Testing of Bidirectional Promoters in the Human Genome-Significance and Applications in Human Genome Research16 Supervised Learning Methods for MicroRNA Studies; 17 Machine Learning for Computational Haplotype Analysis; 18 Machine Learning Applications in SNP-Disease Association Study; 19 Nanopore Cheminformatics-Based Studies of Individual Molecular Interactions; 20 An Information Fusion Framework for Biomedical Informatics; Index |
| Record Nr. | UNINA-9910826809503321 |
|
Zhang Yan-Qing
|
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| Hoboken, N.J., : Wiley, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition in Bioinformatics [[electronic resource] ] : 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings / / edited by Matteo Comin, Lukas Käll, Elena Marchiori, Alioune Ngom, Jagath Chandana Rajapakse
| Pattern Recognition in Bioinformatics [[electronic resource] ] : 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings / / edited by Matteo Comin, Lukas Käll, Elena Marchiori, Alioune Ngom, Jagath Chandana Rajapakse |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XII, 135 p. 29 illus.) |
| Disciplina | 570.285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Health informatics Pattern recognition Data mining Algorithms Artificial intelligence Computational Biology/Bioinformatics Health Informatics Pattern Recognition Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity Artificial Intelligence |
| ISBN | 3-319-09192-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | FULL PAPERS -- Acquiring Decision Rules for Predicting Ames-Negative Hepatocarcinogens Using Chemical-Chemical Interactions -- Using Topology Information for Protein-Protein Interaction Prediction -- Biases of drug{target interaction network data -- Logol: Expressive Pattern Matching in sequences Application to Ribosomal Frameshift Modeling -- Evolutionary Algorithm based on New Crossover for the Biclustering of Gene Expression Data -- SFFS-SW: A feature selection algorithm exploring the small-world properties of GNs -- CytomicsDB: A Metadata-based storage and retrieval approach for High-Throughput Screening Experiments -- CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory -- Networks from Expression Data Using Random Forest -- SHORT ABSTRACTS -- Analysis of miRNA expression profiles in breast cancer using biclustering -- Gram-positive and Gram-negative Subcellular Localization Using Rotation Forest and Physicochemical-based Features -- Data Driven Feature Selection for RNA-Seq Differential Expression Analysis -- Intramuscular fat percentage estimation through ultrasound images -- An integrated approach of gene expression and DNA-methylation profiles of WNT signaling genes uncovers novel prognostic markers in Acute Myeloid Leukemia -- Improving performance of the eXtasy model by hierarchical sampling -- Popovic et al.Ensemble Neural Networks Scoring Functions for Accurate Binding Affinity -- Prediction of Protein-Ligand Complexes -- Integration of Gene Expression and DNA-methylation Profiles Improves Molecular Subtype Classification in Acute Myeloid Leukemia -- The Relative Vertex-to-Vertex Clustering Value- A New Criterion for the Fast Detection of Functional Modules in Protein Interaction Networks. |
| Record Nr. | UNISA-996198272003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern Recognition in Bioinformatics : 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings / / edited by Matteo Comin, Lukas Käll, Elena Marchiori, Alioune Ngom, Jagath Chandana Rajapakse
| Pattern Recognition in Bioinformatics : 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings / / edited by Matteo Comin, Lukas Käll, Elena Marchiori, Alioune Ngom, Jagath Chandana Rajapakse |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XII, 135 p. 29 illus.) |
| Disciplina | 570.285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Health informatics Pattern recognition Data mining Algorithms Artificial intelligence Computational Biology/Bioinformatics Health Informatics Pattern Recognition Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity Artificial Intelligence |
| ISBN | 3-319-09192-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | FULL PAPERS -- Acquiring Decision Rules for Predicting Ames-Negative Hepatocarcinogens Using Chemical-Chemical Interactions -- Using Topology Information for Protein-Protein Interaction Prediction -- Biases of drug{target interaction network data -- Logol: Expressive Pattern Matching in sequences Application to Ribosomal Frameshift Modeling -- Evolutionary Algorithm based on New Crossover for the Biclustering of Gene Expression Data -- SFFS-SW: A feature selection algorithm exploring the small-world properties of GNs -- CytomicsDB: A Metadata-based storage and retrieval approach for High-Throughput Screening Experiments -- CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory -- Networks from Expression Data Using Random Forest -- SHORT ABSTRACTS -- Analysis of miRNA expression profiles in breast cancer using biclustering -- Gram-positive and Gram-negative Subcellular Localization Using Rotation Forest and Physicochemical-based Features -- Data Driven Feature Selection for RNA-Seq Differential Expression Analysis -- Intramuscular fat percentage estimation through ultrasound images -- An integrated approach of gene expression and DNA-methylation profiles of WNT signaling genes uncovers novel prognostic markers in Acute Myeloid Leukemia -- Improving performance of the eXtasy model by hierarchical sampling -- Popovic et al.Ensemble Neural Networks Scoring Functions for Accurate Binding Affinity -- Prediction of Protein-Ligand Complexes -- Integration of Gene Expression and DNA-methylation Profiles Improves Molecular Subtype Classification in Acute Myeloid Leukemia -- The Relative Vertex-to-Vertex Clustering Value- A New Criterion for the Fast Detection of Functional Modules in Protein Interaction Networks. |
| Record Nr. | UNINA-9910483278703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern recognition in bioinformatics : second IAPR international workshop, PRIB 2007, Singapore, October 1-2, 2007 : proceedings / / Jagath C. Rajapakse, Bertil Schmidt, Gwenn Volkert (eds.)
| Pattern recognition in bioinformatics : second IAPR international workshop, PRIB 2007, Singapore, October 1-2, 2007 : proceedings / / Jagath C. Rajapakse, Bertil Schmidt, Gwenn Volkert (eds.) |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (XVIII, 410 p.) |
| Disciplina | 572.80285 |
| Collana | Lecture notes in computer science. Lecture notes in bioinformatics |
| Soggetto topico |
Bioinformatics
Computational biology Computer vision in medicine |
| ISBN | 3-540-75286-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sequence Analysis -- Automated Methods of Predicting the Function of Biological Sequences Using GO and Rough Set -- C-Based Design Methodology for FPGA Implementation of ClustalW MSA -- A Two-Phase ANN Method for Genome-Wide Detection of Hormone Response Elements -- An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming -- cDNA-Derived Amino Acid Sequence from Rat Brain A2aR Possesses Conserved Motifs PMNYM of TM 5 Domain, Which May Be Involved in Dimerization of A2aR -- Strong GC and AT Skew Correlation in Chicken Genome -- Comparative Analysis of a Hierarchical Bayesian Method for Quantitative Trait Loci Analysis for the Arabidopsis Thaliana -- Prediction of Protein Structure, Interaction and Localization -- Using Decision Templates to Predict Subcellular Localization of Protein -- Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction -- Using Fuzzy Support Vector Machine Network to Predict Low Homology Protein Structural Classes -- SVM-BetaPred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM -- Protein Fold Recognition Based Upon the Amino Acid Occurrence -- Using Efficient RBF Network to Identify Interface Residues Based on PSSM Profiles and Biochemical Properties -- Dynamic Outlier Exclusion Training Algorithm for Sequence Based Predictions in Proteins Using Neural Network -- Bioinformatics on ?-Barrel Membrane Proteins: Sequence and Structural Analysis, Discrimination and Prediction -- Estimation of Evolutionary Average Hydrophobicity Profile from a Family of Protein Sequences -- Gene Expression Analysis -- APMA Database for Affymetrix Target Sequences Mapping, Quality Assessment and Expression Data Mining -- Ensemble of Dissimilarity Based Classifiers for Cancerous Samples Classification -- Gene Expression Analysis of Leukemia Samples Using Visual Interpretation of Small Ensembles: A Case Study -- Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering -- Integrating Gene Expression Data from Microarrays Using the Self-Organising Map and the Gene Ontology -- Order Preserving Clustering by Finding Frequent Orders in Gene Expression Data -- Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection -- SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection -- In Silico Expression Profiles of Human Endogenous Retroviruses -- Pathway Analysis -- A Framework for Path Analysis in Gene Regulatory Networks -- Transcriptional Gene Regulatory Network Reconstruction Through Cross Platform Gene Network Fusion -- Reconstruction of Protein-Protein Interaction Pathways by Mining Subject-Verb-Objects Intermediates -- Validation of Gene Regulatory Networks from Protein-Protein Interaction Data: Application to Cell-Cycle Regulation -- Medical Informatics -- Rough Sets and Fuzzy Sets Theory Applied to the Sequential Medical Diagnosis -- In silico Identification of Putative Drug Targets in Pseudomonas aeruginosa Through Metabolic Pathway Analysis -- Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification -- Predicting Binding Peptides with Simultaneous Optimization of Entropy and Evolutionary Distance -- Bioimaging -- 3D Automated Nuclear Morphometric Analysis Using Active Meshes -- Time-Frequency Method Based Activation Detection in Functional MRI Time-Series -- High Performance Classification of Two Imagery Tasks in the Cue-Based Brain Computer Interface -- Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling -- Classification of CT Brain Images of Head Trauma. |
| Record Nr. | UNINA-9910483058203321 |
| Berlin, Germany ; ; New York, New York : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern recognition in bioinformatics : second IAPR international workshop, PRIB 2007, Singapore, October 1-2, 2007 : proceedings / / Jagath C. Rajapakse, Bertil Schmidt, Gwenn Volkert (eds.)
| Pattern recognition in bioinformatics : second IAPR international workshop, PRIB 2007, Singapore, October 1-2, 2007 : proceedings / / Jagath C. Rajapakse, Bertil Schmidt, Gwenn Volkert (eds.) |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (XVIII, 410 p.) |
| Disciplina | 572.80285 |
| Collana | Lecture notes in computer science. Lecture notes in bioinformatics |
| Soggetto topico |
Bioinformatics
Computational biology Computer vision in medicine |
| ISBN | 3-540-75286-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sequence Analysis -- Automated Methods of Predicting the Function of Biological Sequences Using GO and Rough Set -- C-Based Design Methodology for FPGA Implementation of ClustalW MSA -- A Two-Phase ANN Method for Genome-Wide Detection of Hormone Response Elements -- An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming -- cDNA-Derived Amino Acid Sequence from Rat Brain A2aR Possesses Conserved Motifs PMNYM of TM 5 Domain, Which May Be Involved in Dimerization of A2aR -- Strong GC and AT Skew Correlation in Chicken Genome -- Comparative Analysis of a Hierarchical Bayesian Method for Quantitative Trait Loci Analysis for the Arabidopsis Thaliana -- Prediction of Protein Structure, Interaction and Localization -- Using Decision Templates to Predict Subcellular Localization of Protein -- Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction -- Using Fuzzy Support Vector Machine Network to Predict Low Homology Protein Structural Classes -- SVM-BetaPred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM -- Protein Fold Recognition Based Upon the Amino Acid Occurrence -- Using Efficient RBF Network to Identify Interface Residues Based on PSSM Profiles and Biochemical Properties -- Dynamic Outlier Exclusion Training Algorithm for Sequence Based Predictions in Proteins Using Neural Network -- Bioinformatics on ?-Barrel Membrane Proteins: Sequence and Structural Analysis, Discrimination and Prediction -- Estimation of Evolutionary Average Hydrophobicity Profile from a Family of Protein Sequences -- Gene Expression Analysis -- APMA Database for Affymetrix Target Sequences Mapping, Quality Assessment and Expression Data Mining -- Ensemble of Dissimilarity Based Classifiers for Cancerous Samples Classification -- Gene Expression Analysis of Leukemia Samples Using Visual Interpretation of Small Ensembles: A Case Study -- Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering -- Integrating Gene Expression Data from Microarrays Using the Self-Organising Map and the Gene Ontology -- Order Preserving Clustering by Finding Frequent Orders in Gene Expression Data -- Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection -- SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection -- In Silico Expression Profiles of Human Endogenous Retroviruses -- Pathway Analysis -- A Framework for Path Analysis in Gene Regulatory Networks -- Transcriptional Gene Regulatory Network Reconstruction Through Cross Platform Gene Network Fusion -- Reconstruction of Protein-Protein Interaction Pathways by Mining Subject-Verb-Objects Intermediates -- Validation of Gene Regulatory Networks from Protein-Protein Interaction Data: Application to Cell-Cycle Regulation -- Medical Informatics -- Rough Sets and Fuzzy Sets Theory Applied to the Sequential Medical Diagnosis -- In silico Identification of Putative Drug Targets in Pseudomonas aeruginosa Through Metabolic Pathway Analysis -- Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification -- Predicting Binding Peptides with Simultaneous Optimization of Entropy and Evolutionary Distance -- Bioimaging -- 3D Automated Nuclear Morphometric Analysis Using Active Meshes -- Time-Frequency Method Based Activation Detection in Functional MRI Time-Series -- High Performance Classification of Two Imagery Tasks in the Cue-Based Brain Computer Interface -- Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling -- Classification of CT Brain Images of Head Trauma. |
| Record Nr. | UNISA-996465867303316 |
| Berlin, Germany ; ; New York, New York : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern recognition in bioinformatics : international workshop, PRIB 2006, Hong Kong, China, August 20, 2006 : proceedings / / Jagath C. Rajapakse, Limsoon Wong, Raj Acharya (eds.)
| Pattern recognition in bioinformatics : international workshop, PRIB 2006, Hong Kong, China, August 20, 2006 : proceedings / / Jagath C. Rajapakse, Limsoon Wong, Raj Acharya (eds.) |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2006 |
| Descrizione fisica | 1 online resource (XII, 186 p.) |
| Disciplina | 570.285 |
| Altri autori (Persone) |
RajapakseJagath Chandana
WongLimsoon <1965-> AcharyaRajgopal Sundaraj |
| Collana |
Lecture notes in computer science. Lecture notes in bioinformatics
LNCS sublibrary. SL 8, Bioinformatics |
| Soggetto topico |
Bioinformatics
Computational biology Computer vision in medicine |
| ISBN | 3-540-37447-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. 1. Signal and motif detection; gene selection -- pt. 2. Models of DNA, RNA, and protein structures -- pt. 3. Biological databases and imaging. |
| Altri titoli varianti | PRIB 2006 |
| Record Nr. | UNINA-9910484976703321 |
| Berlin ; ; New York, : Springer, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||