A gene ontology-based microarray gene expression data analysis for diagnosing pseudomyxoma peritonei

Author

Katagiri, Hideki ; Uno, Toru ; Kato, Kazuhiko ; Kuwano, Hiroki ; Sasaki, Kazuhiko ; Yonemura, Yutaka ; Endo, Yuta

Author_Institution

Grad. Sch. of Eng., Hiroshima Univ., Higashi-Hiroshima, Japan

fYear

2014

fDate

7-8 Nov. 2014

Firstpage

83

Lastpage

88

Abstract

This research presents a gene ontology (GO)-based microarray gene expression data analysis method for diagnosing pseudomyxoma peritonei (PMP). The proposed method extracts a set of probes that are good candidates for tumor markers of PMP. It is shown that bidirectional hierarchical cluster analysis using the extracted probes is helpful for identifying the primary site of PMP. Some tumor markers for PMP are found through the proposed method.

Keywords

data analysis; medical computing; ontologies (artificial intelligence); patient diagnosis; pattern clustering; tumours; GO-based microarray gene expression data analysis method; PMP; bidirectional hierarchical cluster analysis; gene ontology-based microarray gene expression data analysis; probe extraction; pseudomyxoma peritonei diagnosis; tumor markers; Cancer; Educational institutions; Gene expression; Ontologies; Probes; Tumors; GO term; Pseudomyxoma peritonei; clustering; gene ontology; microarray gene expression; tumor marker;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on

Conference_Location

Hiroshima

ISSN

1883-3977

Print_ISBN

978-1-4799-4771-3

Type

conf

DOI

10.1109/IWCIA.2014.6988083

Filename

6988083