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Titolo: | Data Mining for Biomedical Applications [[electronic resource] ] : PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings / / edited by Jinyan Li, Qiang Yang, Ah-Hwee Tan |
Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
Edizione: | 1st ed. 2006. |
Descrizione fisica: | 1 online resource (VIII, 155 p.) |
Disciplina: | 610.285 |
Soggetto topico: | Artificial intelligence |
Database management | |
Information storage and retrieval | |
Bioinformatics | |
Mathematical statistics | |
Health informatics | |
Artificial Intelligence | |
Database Management | |
Information Storage and Retrieval | |
Probability and Statistics in Computer Science | |
Health Informatics | |
Persona (resp. second.): | LiJinyan |
YangQiang | |
TanAh-Hwee | |
Note generali: | "... papers selected for presentation at the First Workshop on Data Mining for Biomedical Applications (BioDM 2006) ... in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006)"--Pref. |
Nota di bibliografia: | Includes bibliographical references and index. |
Nota di contenuto: | Keynote Talk -- Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions -- Database and Search -- A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry -- Filtering Bio-sequence Based on Sequence Descriptor -- Automatic Extraction of Genomic Glossary Triggered by Query -- Frequent Subsequence-Based Protein Localization -- Bio Data Clustering -- gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data -- Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits -- A Novel Clustering Method for Analysis of Gene Microarray Expression Data -- Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results -- In-silico Diagnosis -- Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra -- Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles -- Generation of Comprehensible Hypotheses from Gene Expression Data -- Classification of Brain Glioma by Using SVMs Bagging with Feature Selection -- Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction -- Informative MicroRNA Expression Patterns for Cancer Classification. |
Titolo autorizzato: | Data Mining for Biomedical Applications |
ISBN: | 3-540-33105-0 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996465804303316 |
Lo trovi qui: | Univ. di Salerno |
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