Another important aspect concerns the influence of the underlying gene-expression distributional assumption on the accuracies of these <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0018874.e275.PNG" class= inline-graphic"/> -estimation methods.
The present paper is to derive the Mills' inequality, Mills' ratio, and the distributional tail expression for the LGMD.
Therefore, it makes more sense to assume that a gene expression has a multi-distributional structure in GEO database, instead of single compositional structure.
Insight into the cellular mechanism(s) by which progesterone affects mammary morphogenesis has been disclosed by a new PR-LacZ knockin mouse, which revealed that PR's spatial expression pattern undergoes precise choreographed distributional changes that precede key stages in postnatal mammary development.
Additionally, for the aberrant expression of myeloid markers, a distributional analysis of the data was made and found no normal distribution.
ERCC1 mRNA expression did, however, show a clear distributional trend though not statistically significant between patients with partial response vs stable disease.
In this paper, we studied various effects of differing sequencing depth on distributional aspects of gene expression data obtained from RNA-seq experiments.
Simulation results show that the proposed method can improve the power of gene set enrichment meta-analysis, as opposed to existing methods developed by Shen and Tseng (2010, Bioinformatics, 26, 1316 1323), and it is not sensitive to mild or moderate deviations from the distributional assumption for gene expression data.
This new method does not require any distributional assumption on the gene expression measurements, is logically intuitive, and is also easy to implement using statistical software.
In this study I have used a single distributional assumption, i.e, the normal distribution, as the underlying distribution for the gene expression values.
