↓ Skip to main content

Data Mining for Biomedical Applications

Overview of attention for book
Cover of 'Data Mining for Biomedical Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions
  3. Altmetric Badge
    Chapter 2 A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry
  4. Altmetric Badge
    Chapter 3 Filtering Bio-sequence Based on Sequence Descriptor
  5. Altmetric Badge
    Chapter 4 Automatic Extraction of Genomic Glossary Triggered by Query
  6. Altmetric Badge
    Chapter 5 Frequent Subsequence-Based Protein Localization
  7. Altmetric Badge
    Chapter 6 gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data
  8. Altmetric Badge
    Chapter 7 Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits
  9. Altmetric Badge
    Chapter 8 A Novel Clustering Method for Analysis of Gene Microarray Expression Data
  10. Altmetric Badge
    Chapter 9 Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results
  11. Altmetric Badge
    Chapter 10 Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra
  12. Altmetric Badge
    Chapter 11 Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles
  13. Altmetric Badge
    Chapter 12 Generation of Comprehensible Hypotheses from Gene Expression Data
  14. Altmetric Badge
    Chapter 13 Classification of Brain Glioma by Using SVMs Bagging with Feature Selection
  15. Altmetric Badge
    Chapter 14 Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction
  16. Altmetric Badge
    Chapter 15 Informative MicroRNA Expression Patterns for Cancer Classification
Attention for Chapter 8: A Novel Clustering Method for Analysis of Gene Microarray Expression Data
Altmetric Badge

Readers on

3 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
A Novel Clustering Method for Analysis of Gene Microarray Expression Data
Chapter number 8
Book title
Data Mining for Biomedical Applications
Published by
Springer, Berlin, Heidelberg, April 2006
DOI 10.1007/11691730_8
Book ISBNs
978-3-54-033104-9, 978-3-54-033105-6

Fei Luo, Juan Liu

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Professor > Associate Professor 1 33%
Other 1 33%
Readers by discipline Count As %
Engineering 2 67%
Medicine and Dentistry 1 33%