Title :
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
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;
Conference_Titel :
Computational Intelligence and Applications (IWCIA), 2014 IEEE 7th International Workshop on
Conference_Location :
Hiroshima
Print_ISBN :
978-1-4799-4771-3
DOI :
10.1109/IWCIA.2014.6988083
