An Integrated Approach for RNA-seq Data Normalization.

ABSTRACT:

Background

DNA copy number alteration is common in many cancers. Studies have shown that insertion or deletion of DNA sequences can directly alter gene expression, and significant correlation exists between DNA copy number and gene expression. Data normalization is a critical step in the analysis of gene expression generated by RNA-seq technology. Successful normalization reduces/removes unwanted nonbiological variations in the data, while keeping meaningful information intact. However, as far as we know, no attempt has been made to adjust for the variation due to DNA copy number changes in RNA-seq data normalization.

Results

In this article, we propose an integrated approach for RNA-seq data normalization. Comparisons show that the proposed normalization can improve power f

SUBMITTER: Yang S 

PROVIDER: S-EPMC4924883 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature