A comparative study for characterisation and prediction of tissue-specific DNA methylation of CpG islands in chromosomes 6, 20 and 22

Author

Ali, Isse ; Seker, Huseyin

Author_Institution

Bio-Health Inf. Res. Group, De Montfort Univ., Leicester, UK

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

1832

Lastpage

1835

Abstract

Advanced technology has enabled identification of tissue-specific methylated CpG islands of different human tissues. As methylation of CpG islands is involved in various biological phenomena and function of the DNA methylation is linked to various human diseases such as cancer, analysis of the CpG islands has become important and useful in characterising and modelling biological phenomena and understanding mechanism of such diseases. However, analysis of the data associated with the CpG islands is a quite new and challenging subject in bioinformatics, systems biology and epigenetics.

Keywords

DNA; biochemistry; biological tissues; cellular biophysics; molecular biophysics; CpG islands; K-nearest neighbour classifier; human chromosomes; leave-one-out validation method; m-fold cross validation method; sequence distribution; tissue-specific DNA methylation; Accuracy; Bioinformatics; Biological cells; DNA; Feature extraction; Genomics; Humans; Algorithms; Chromosomes, Human, Pair 20; Chromosomes, Human, Pair 22; Chromosomes, Human, Pair 6; Computational Biology; CpG Islands; DNA; DNA Methylation; Epigenesis, Genetic; Evolution, Molecular; Genome, Human; Humans;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5626437

Filename

5626437