Meta-analytical biomarker search of EST expression data reveals three differentially expressed candidates.

ABSTRACT:

Background

Researches have been conducted for the identification of differentially expressed genes (DEGs) by generating and mining of cDNA expressed sequence tags (ESTs) for more than a decade. Although the availability of public databases make possible the comprehensive mining of DEGs among the ESTs from multiple tissue types, existing studies usually employed statistics suitable only for two categories. Multi-class test has been developed to enable the finding of tissue specific genes, but subsequent search for cancer genes involves separate two-category test only on the ESTs of the tissue of interest. This constricts the amount of data used. On the other hand, simple pooling of cancer and normal genes from multiple tissue types runs the risk of Simpson's paradox. Here we present

SUBMITTER: Wu TH 

PROVIDER: S-EPMC3521215 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature