Using formal concept analysis for mining hyomethylated genes among breast cancer tumors subtypes

Citation:
Amin, I. I., Samar K. Kassim, A. E. Hassanien, and H. A. Hefny, "Using formal concept analysis for mining hyomethylated genes among breast cancer tumors subtypes ", IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013) , Mysore, India, August 22-25, 2013.

Date Presented:

August 22-25

Hypomethylation of DNA have been associated with
cancer in several investigations. Hypomethylated of CPG islands
associated with promoters can affect the expression of genes
to be more expressed. The Illumina GoldenGate Methylation
Cancer Panel I can measure DNA methylation at 1505 CpG
loci of 806 cancer related genes. A powerful tools to analysis
the DNA methylation data are needed. In this paper, formal
concept analysis (FCA) is used as data mining tool for mining the
hypomethylated genes among breast cancer subtypes, by building
formal concepts with significant hypomethylated genes for each
breast cancer subtypes. The concept lattice is constructed based
on a formal context which is composed of formal concepts. This
lattice reflects the biological relationships among breast cancer
subtypes.

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