Title :
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
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;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on
Conference_Location :
Kochi
Print_ISBN :
978-1-4673-5117-1
DOI :
10.1109/ISDA.2012.6416633
