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Data Mining for Biomedical Applications : PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings / edited by Jinyan Li, Qiang Yang, Ah-Hwee Tan

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Lecture notes in computer science ; 3916Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006Description: Online-Ressource (VIII, 155 p. Also available online, digital)ISBN:
  • 9783540331056
Subject(s): Genre/Form: Additional physical formats: 9783540331049 | Buchausg. u.d.T.: Data mining for biomedical applications. Berlin : Springer, 2006. VIII, 154 SDDC classification:
  • 005.74
  • 610
  • 004
  • 006.3 23
LOC classification:
  • QA76.9.D3
DOI: DOI: 10.1007/11691730Online resources: Summary: 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.PPN: PPN: 1646672410Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-LNC | ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB
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