A method for computing the overall statistical significance of a treatment effect among a group of genes

@article{Delongchamp2006AMF,
  title={A method for computing the overall statistical significance of a treatment effect among a group of genes},
  author={Robert R. Delongchamp and Taewon Lee and Cruz Velasco},
  journal={BMC Bioinformatics},
  year={2006},
  volume={7},
  pages={S11 - S11}
}
In studies that use DNA arrays to assess changes in gene expression, our goal is to evaluate the statistical significance of treatments on sets of genes. Genes can be grouped by a molecular function, a biological process, or a cellular component, e.g., gene ontology (GO) terms. The meaning of an affected GO group is often clearer than interpretations arising from a list of the statistically significant genes. Computer simulations demonstrated that correlations among genes invalidate many… CONTINUE READING
Highly Cited
This paper has 35 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 17 extracted citations

Comparative genomics boosts target prediction for bacterial small RNAs.

Proceedings of the National Academy of Sciences of the United States of America • 2013
View 5 Excerpts
Highly Influenced