Formal concept analysis for mining hypermethylated genes in breast cancer tumor subtypes

Author

Amin, Islam Ibrahim ; Kassim, Samar K. ; Ella Hassanien, Aboul ; Hefny, Hesham Ahmed

Author_Institution

Inst. of Stat. Studies & Researches, Cairo Univ., Cairo, Egypt

fYear

2012

fDate

27-29 Nov. 2012

Firstpage

764

Lastpage

769

Abstract

The main purpose of this paper is to show the use of formal concept analysis (FCA) as data mining approach for mining the common hypermethylated genes between breast cancer subtypes, by extracting formal concepts which representing sets of significant hypermethylated genes for each breast cancer subtypes, then the formal context is built which leading to construct a concept lattice which is composed of formal concepts. This lattice can be used as knowledge discovery and knowledge representation therefore, becoming more interesting for the biologists.

Keywords

bioinformatics; cancer; data mining; formal concept analysis; genetics; knowledge representation; tumours; FCA; breast cancer tumor subtypes; concept lattice; data mining approach; formal concept analysis; formal concept extraction; hypermethylated gene mining; knowledge discovery; knowledge representation; Breast cancer; Context; DNA; Formal concept analysis; Gene expression; Lattices; Formal concept analysis; breast cancer; concept lattice; formal context; hypermethylated genes;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on

Conference_Location

Kochi

ISSN

2164-7143

Print_ISBN

978-1-4673-5117-1

Type

conf

DOI

10.1109/ISDA.2012.6416633

Filename

6416633