Improvement in Reliability of Probabilistic Test of Significant Differences in GeneChip Experiments

Kyoko Toda, Seiichi Ishida, Kotoko Nakata, Rieko Matsuda, Yukari Shigemoto-Mogami, Shogo Ozawa, Jun Ichi Sawada, Yasuo Ohno, Kazuhide Inoue, Koichi Shudo, Yuzuru Hayashi

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

A probabilistic test (FUMI theory) for GeneChip experiments has been proposed for selecting the genes which show significant differences in the gene expression levels between a single pair of treatment and control. This paper describes that the reliability of the judgment by the FUMI theory can be enhanced, when the selected genes are referred to biomolecular-functional networks of a commercial database. The genes judged as being differently expressed are grouped into a cluster in the biomolecular networks. It is also demonstrated that false positive genes have a trend in the networks to be isolated from each other, and also away from the clustered genes, since the false positive genes are randomly selected.

Original languageEnglish
Pages (from-to)731-733
Number of pages3
Journalanalytical sciences
Volume20
Issue number4
DOIs
Publication statusPublished - Apr 2004
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry

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