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Cancer characterization and feature set extraction by discriminative margin clustering.

Publication ,  Journal Article
Munagala, K; Tibshirani, R; Brown, PO
Published in: BMC bioinformatics
March 2004

A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or type of cancer, from all normal cells and tissues.Discriminative margin clustering is a new technique for analyzing high dimensional quantitative datasets, specially applicable to gene expression data from microarray experiments related to cancer. The goal of the analysis is find highly specialized sub-types of a tumor type which are similar in having a small combination of genes which together provide a unique molecular portrait for distinguishing the sub-type from any normal cell or tissue. Detection of the products of these genes can then, in principle, provide a basis for detection and diagnosis of a cancer, and a therapy directed specifically at the distinguishing constellation of molecular features can, in principle, provide a way to eliminate the cancer cells, while minimizing toxicity to any normal cell.The new methodology yields highly specialized tumor subtypes which are similar in terms of potential diagnostic markers.

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Published In

BMC bioinformatics

DOI

EISSN

1471-2105

ISSN

1471-2105

Publication Date

March 2004

Volume

5

Start / End Page

21

Related Subject Headings

  • Predictive Value of Tests
  • Oligonucleotide Array Sequence Analysis
  • Neoplasms
  • Molecular Diagnostic Techniques
  • Humans
  • Genes, Neoplasm
  • Gene Expression Regulation, Neoplastic
  • Gene Expression Profiling
  • Cluster Analysis
  • Bioinformatics
 

Citation

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Munagala, K., Tibshirani, R., & Brown, P. O. (2004). Cancer characterization and feature set extraction by discriminative margin clustering. BMC Bioinformatics, 5, 21. https://doi.org/10.1186/1471-2105-5-21
Munagala, Kamesh, Robert Tibshirani, and Patrick O. Brown. “Cancer characterization and feature set extraction by discriminative margin clustering.BMC Bioinformatics 5 (March 2004): 21. https://doi.org/10.1186/1471-2105-5-21.
Munagala K, Tibshirani R, Brown PO. Cancer characterization and feature set extraction by discriminative margin clustering. BMC bioinformatics. 2004 Mar;5:21.
Munagala, Kamesh, et al. “Cancer characterization and feature set extraction by discriminative margin clustering.BMC Bioinformatics, vol. 5, Mar. 2004, p. 21. Epmc, doi:10.1186/1471-2105-5-21.
Munagala K, Tibshirani R, Brown PO. Cancer characterization and feature set extraction by discriminative margin clustering. BMC bioinformatics. 2004 Mar;5:21.
Journal cover image

Published In

BMC bioinformatics

DOI

EISSN

1471-2105

ISSN

1471-2105

Publication Date

March 2004

Volume

5

Start / End Page

21

Related Subject Headings

  • Predictive Value of Tests
  • Oligonucleotide Array Sequence Analysis
  • Neoplasms
  • Molecular Diagnostic Techniques
  • Humans
  • Genes, Neoplasm
  • Gene Expression Regulation, Neoplastic
  • Gene Expression Profiling
  • Cluster Analysis
  • Bioinformatics