Genome-wide prediction and analysis of human tissue-selective genes using microarray expression data.

ABSTRACT:

Background

Understanding how genes are expressed specifically in particular tissues is a fundamental question in developmental biology. Many tissue-specific genes are involved in the pathogenesis of complex human diseases. However, experimental identification of tissue-specific genes is time consuming and difficult. The accurate predictions of tissue-specific gene targets could provide useful information for biomarker development and drug target identification.

Results

In this study, we have developed a machine learning approach for predicting the human tissue-specific genes using microarray expression data. The lists of known tissue-specific genes for different tissues were collected from UniProt database, and the expression data retrieved from the previously compiled datas

SUBMITTER: Teng S 

PROVIDER: S-EPMC3552705 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature