Treating expression levels of different genes as a sample in microarray data analysis: is it worth a risk?

@article{Klebanov2006TreatingEL,
  title={Treating expression levels of different genes as a sample in microarray data analysis: is it worth a risk?},
  author={Lev Klebanov and Andrei Yu Yakovlev},
  journal={Statistical applications in genetics and molecular biology},
  year={2006},
  volume={5},
  pages={Article9}
}
One of the prevailing ideas in the literature on microarray data analysis is to pool the expression measures across genes and treat them as a sample drawn from some distribution. Several universal laws were proposed to analytically describe this distribution. This idea raises a number of concerns. The expression levels of genes are not identically distributed random variables so that treating them as a sample amounts to sampling from a mixture of equally weighted distributions, each being… CONTINUE READING
Highly Cited
This paper has 22 citations. REVIEW CITATIONS
12 Extracted Citations
0 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 12 extracted citations

Similar Papers

Loading similar papers…