Willkommen, schön sind Sie da!
Logo Ex Libris

Data Mining for Biomedical Applications

  • E-Book (pdf)
  • 155 Seiten
(0) Erste Bewertung abgeben
Bewertungen
(0)
(0)
(0)
(0)
(0)
Alle Bewertungen ansehen
This book constitutes the refereed proceedings of the International Workshop on Data Mining for Biomedical Applications, BioDM 20... Weiterlesen
E-Books ganz einfach mit der kostenlosen Ex Libris-Reader-App lesen. Hier erhalten Sie Ihren Download-Link.
CHF 82.50
Download steht sofort bereit
Informationen zu E-Books
E-Books eignen sich auch für mobile Geräte (sehen Sie dazu die Anleitungen).
E-Books von Ex Libris sind mit Adobe DRM kopiergeschützt: Erfahren Sie mehr.
Weitere Informationen finden Sie hier.
Bestellung & Lieferung in eine Filiale möglich

Beschreibung

This book constitutes the refereed proceedings of the International Workshop on Data Mining for Biomedical Applications, BioDM 2006, held in Singapore in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006). The 14 revised full papers presented together with one keynote talk were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections



Inhalt

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.

Produktinformationen

Titel: Data Mining for Biomedical Applications
Untertitel: PAKDD 2006 Workshop, BioDM 2006, Singapore, April 9, 2006, Proceedings
Editor:
EAN: 9783540331056
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Anzahl Seiten: 155
Veröffentlichung: 28.02.2006
Dateigrösse: 2.6 MB

Weitere Bände aus der Buchreihe "Lecture Notes in Bioinformatics"