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Pattern Recognition in Bioinformatics [[electronic resource] ] : Third IAPR International Conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008. Proceedings / / edited by Madhu Chetty, Alioune Ngom, Shandar Ahmad
| Pattern Recognition in Bioinformatics [[electronic resource] ] : Third IAPR International Conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008. Proceedings / / edited by Madhu Chetty, Alioune Ngom, Shandar Ahmad |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XVI, 472 p.) |
| Disciplina | 570.285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Life sciences
Medicine Data mining Bioinformatics Pattern recognition Artificial intelligence Life Sciences, general Medicine/Public Health, general Data Mining and Knowledge Discovery Computational Biology/Bioinformatics Pattern Recognition Artificial Intelligence |
| ISBN | 3-540-88436-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Protein: Structure, Function, and Interaction -- Sequence Based Prediction of Protein Mutant Stability and Discrimination of Thermophilic Proteins -- A Method to Find Sequentially Separated Motifs in Biological Sequences (SSMBS) -- Predicting SUMOylation Sites -- DFS Based Partial Pathways in GA for Protein Structure Prediction -- Evaluation of the Stability of Folding Nucleus upon Mutation -- Prediction of Protein Beta-Sheets: Dynamic Programming versus Grammatical Approach -- Using Multi-scale Glide Zoom Window Feature Extraction Approach to Predict Protein Homo-oligomer Types -- Extraction of Binding Sites in Proteins by Searching for Similar Local Molecular Surfaces -- Learning, Classification, and Clustering -- A Clustering Based Hybrid System for Mass Spectrometry Data Analysis -- A Modified Markov Clustering Approach for Protein Sequence Clustering -- Feature Selection and Classification for Small Gene Sets -- Pseudoknot Identification through Learning TAGRNA -- Support Vector Based T-Score for Gene Ranking -- Prediction of Transcription Factor Families Using DNA Sequence Features -- g-MARS: Protein Classification Using Gapped Markov Chains and Support Vector Machines -- Bio-Molecular Networks and Pathways Analysis -- Domain-Domain Interaction Identification with a Feature Selection Approach -- Dividing Protein Interaction Networks by Growing Orthologous Articulations -- Constraint Minimization for Efficient Modeling of Gene Regulatory Network -- Fusion of Gene Regulatory and Protein Interaction Networks Using Skip-Chain Models -- TopEVM: Using Co-occurrence and Topology Patterns of Enzymes in Metabolic Networks to Construct Phylogenetic Trees -- Generating Synthetic Gene Regulatory Networks -- Microarray and Gene Expression Analysis -- Gene Selection for Microarray Data by a LDA-Based Genetic Algorithm -- Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem -- On Finding and Interpreting Patterns in Gene Expression Data from Time Course Experiments -- Microarray Design Using the Hilbert–Schmidt Independence Criterion -- Identifying Non-random Patterns from Gene Expression Profiles -- A Study on the Importance of Differential Prioritization in Feature Selection Using Toy Datasets -- Weighted Top Score Pair Method for Gene Selection and Classification -- Data Mining and Knowledge Discovery -- Identifying Conserved Discriminative Motifs -- Exploratory Data Analysis for Investigating GC-MS Biomarkers -- Multi-relational Data Mining for Tetratricopeptide Repeats (TPR)-Like Superfamily Members in Leishmania spp.: Acting-by-Connecting Proteins -- Heuristic Non Parametric Collateral Missing Value Imputation: A Step Towards Robust Post-genomic Knowledge Discovery -- Protein Expression Molecular Pattern Discovery by Nonnegative Principal Component Analysis -- Gene Ontology Assisted Exploratory Microarray Clustering and Its Application to Cancer -- Discovery of Biomarkers for Hexachlorobenzene Toxicity Using Population Based Methods on Gene Expression Data -- Applications of High Performance Computing -- Exploiting Fine-Grained Parallelism in the Phylogenetic Likelihood Function with MPI, Pthreads, and OpenMP: A Performance Study -- Massively Parallelized DNA Motif Search on the Reconfigurable Hardware Platform COPACOBANA -- GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences -- Accelerating BLASTP on the Cell Broadband Engine. |
| Record Nr. | UNISA-996465870203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern recognition in bioinformatics : third IAPR international conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008 : proceedings / / Madhu Chetty, Alioune Ngom, Shandar Ahmad (eds.)
| Pattern recognition in bioinformatics : third IAPR international conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008 : proceedings / / Madhu Chetty, Alioune Ngom, Shandar Ahmad (eds.) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2008 |
| Descrizione fisica | 1 online resource (XVI, 472 p.) |
| Disciplina | 570.285 |
| Altri autori (Persone) |
ChettyMadhu
NgomAlioune AhmadShandar |
| Collana |
LNCS sublibrary. SL 8, Bioinformatics
Lecture notes in bioinformatics |
| Soggetto topico |
Bioinformatics
Computational biology Computer vision in medicine |
| ISBN | 3-540-88436-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. 1. Protein : structure, function, and interaction -- pt. 2. Learning, classification, and clustering -- pt. 3. Bio-molecular networks and pathways analysis -- pt. 4. Microarray and gene expression analysis -- pt. 5. Data mining and knowledge discovery -- pt. 6. Applications of high performance computing. |
| Record Nr. | UNINA-9910483058103321 |
| Berlin, : Springer, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||