An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors.

ABSTRACT:

Background

The analysis of large-scale gene expression data is a fundamental approach to functional genomics and the identification of potential drug targets. Results derived from such studies cannot be trusted unless they are adequately designed and reported. The purpose of this study is to assess current practices on the reporting of experimental design and statistical analyses in gene expression-based studies.

Methods

We reviewed hundreds of MEDLINE-indexed papers involving gene expression data analysis, which were published between 2003 and 2005. These papers were examined on the basis of their reporting of several factors, such as sample size, statistical power and software availability.

Results

Among the examined papers, we concentrated on 293 papers consisting

SUBMITTER: Jafari P 

PROVIDER: S-EPMC1523197 | biostudies-literature | 2006 Jun

REPOSITORIES: biostudies-literature