Assessment of Gene Expression Data Analysis Reporting
Author Information
Author(s): Peyman Jafari, Francisco Azuaje
Primary Institution: Shiraz University of Medical Sciences, Iran; University of Ulster, UK
Hypothesis
How well do recent studies report experimental design and statistical factors in gene expression data analyses?
Conclusion
Many recent studies on gene expression data analysis lack essential information for assessing their design quality and potential impact.
Supporting Evidence
- None of the 293 papers reported approaches to sample size calculation.
- Only 7.8% of papers discussed limitations of small sample sizes.
- Only 3.5% of application papers discussed variance homogeneity assumptions.
Takeaway
This study looked at how well researchers report important details when analyzing gene data. It found that many forget to include key information.
Methodology
Reviewed hundreds of MEDLINE-indexed papers published between 2003 and 2005, focusing on their reporting of sample size, statistical power, and software availability.
Limitations
The study only reviewed papers published in specific journals and may not represent all gene expression studies.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website