Ontology highlight
ABSTRACT:
SUBMITTER: Archer KJ
PROVIDER: S-EPMC3740367 | biostudies-literature | 2010
REPOSITORIES: biostudies-literature
Archer Kellie J KJ Zhao Zhongming Z Guennel Tobias T Maluf Daniel G DG Fisher Robert A RA Mas Valeria R VR
International journal of computational biology and drug design 20100805 1
High-throughput genomic technologies are increasingly being used to identify therapeutic targets and risk factors for specific diseases. Using 116 independent liver samples, we identified 793 probe sets that demonstrated a significant association in the frequency of absent calls as tissues progressed from normal to pre-neoplastic to neoplastic, followed by a bioinformatic approach which identified that 78.9% of the significant probe sets contained at least one CpG island in the gene promoter reg ...[more]