On the validation of gene expression clusters

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Classical validity indices are limited to clusters of specific geometrical shapes, and do not allow for discovering the natural cluster structure in data. Moving from the traditional coherent gene expression clustering to exploring the connectivity of gene expression patterns demands the use of more efficient validity indices. In this work, the application of a novel validity measure to gene expression clustering is investigated. The measure was previously introduced by the author to evaluate clusters of arbitrary shapes in low and high dimensional data. However, experimenting with its applicability to gene expression data is the main focus of the presented work. Leukaemia and breast cancer sets are used to evaluate the applicability of the proposed validity to discover the natural connectedness of expression patterns.

Original languageEnglish
Title of host publication2010 5th Cairo International Biomedical Engineering Conference, CIBEC 2010
Pages129-132
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event2010 5th Cairo International Biomedical Engineering Conference, CIBEC 2010 - Cairo, Egypt
Duration: 16 Dec 201018 Dec 2010

Other

Other2010 5th Cairo International Biomedical Engineering Conference, CIBEC 2010
CountryEgypt
CityCairo
Period16/12/1018/12/10

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ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Yousri, N. (2010). On the validation of gene expression clusters. In 2010 5th Cairo International Biomedical Engineering Conference, CIBEC 2010 (pp. 129-132). [5716091] https://doi.org/10.1109/CIBEC.2010.5716091