Discovery of DNA methylation markers in cervical cancer using relaxation ranking.

ABSTRACT:

Background

To discover cancer specific DNA methylation markers, large-scale screening methods are widely used. The pharmacological unmasking expression microarray approach is an elegant method to enrich for genes that are silenced and re-expressed during functional reversal of DNA methylation upon treatment with demethylation agents. However, such experiments are performed in in vitro (cancer) cell lines, mostly with poor relevance when extrapolating to primary cancers. To overcome this problem, we incorporated data from primary cancer samples in the experimental design. A strategy to combine and rank data from these different data sources is essential to minimize the experimental work in the validation steps.

Aim

To apply a new relaxation ranking algorithm to enrich DNA met

SUBMITTER: Ongenaert M 

PROVIDER: S-EPMC2605750 | biostudies-literature | 2008 Nov

REPOSITORIES: biostudies-literature