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

Format:

Book

Contributor:

Li, Jinyan, Ph. D., editor.

Yang, Qiang, 1961- editor.

Tan, Ah-Hwee, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in bioinformatics ; 3916.

Lecture Notes in Bioinformatics ; 3916

Language:

English

Subjects (All):

Artificial intelligence.

Database management.

Information storage and retrieval.

Bioinformatics.

Mathematical statistics.

Medical informatics.

Artificial Intelligence.

Database Management.

Information Storage and Retrieval.

Probability and Statistics in Computer Science.

Health Informatics.

Local Subjects:

Artificial Intelligence.

Database Management.

Information Storage and Retrieval.

Bioinformatics.

Probability and Statistics in Computer Science.

Health Informatics.

Physical Description:

1 online resource (VIII, 155 pages).

Edition:

First edition 2006.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.

System Details:

text file PDF

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-540-33105-6

9783540331056

Access Restriction:

Restricted for use by site license.