The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
Transactions ID Number: 28-337
Full Name: Yoichi Yamada
Position: Assistant Professor
Age: ON
Sex: Male
Address: Graduate School of Natural Science and Technology, Kanazawa University, Kakuma-machi, Kanazawa 920-1192
Country: JAPAN
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E-mail address: youichi@t.kanazawa-u.ac.jp
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Title of the Paper: Characterization and Clustering of GO Terms by Feature Importance Vectors Obtained from Microarray Data
Authors as they appear in the Paper: Jovan David Rebolledo-Mendez, Masanori Higashihara, Yoichi Yamada, Kenji Satou
Email addresses of all the authors: jovan@leo.ec.t.kanazawa-u.ac.jp,m-higa@jaist.ac.jp,youichi@is.t.kanazawa-u.ac.jp,ken@t.kanazawa-u.ac.jp
Number of paper pages: 10
Abstract: In this paper it is explained a new approach for clustering Gene Ontology (GO) terms by examining microarray data related to them. By segmenting the entire ontology in a single specific level, and applying techniques as discrimination and ranking of features to those GO terms that are contained in that level, it is produced a characterization of the contained terms, as feature importance vectors related to the gene expression patterns that are included in the microarray dataset. By utilizing data mining techniques to cluster the vectors, it is concluded that this new approach may help to obtain relations that are normally hidden among GO terms, not only the ones in the same contained ontology, but also getting a trans-ontological relationship of them.
Keywords: CpG island,DNA methylation,human chromosome 11,human chromosome 21,Support vector machine,Random forest
EXTENSION of the file: .pdf
Special (Invited) Session: Finding Hidden Relationship among Biological Concepts in Gene Ontology
Organizer of the Session: 595-640
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