Data Mining for Biomedical Applications PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Li, Jinyan (Editor ), Yang, Qiang (Editor ), Tan, Ah-Hwee (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Lecture Notes in Bioinformatics, 3916
Temas:
Artificial intelligence.
Database management.
Information storage and retrieval systems.
Bioinformatics.
Computer science-Mathematics.
Mathematical statistics.
Medical informatics.
Artificial Intelligence.
Database Management.
Information Storage and Retrieval.
Probability and Statistics in Computer Science.
Health Informatics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares