Screening for changes in gene expression across biological conditions using high throughput technologies is now common in biology. In this paper we present a broad Bayesian multilevel framework for developing computationally fast shrinkage-based screening tools for this purpose. Our scheme makes it easy to adapt the choice of statistics to the goals of the analysis and to the genomic distributions of signal and noise. We empirically investigate the extent to which these shrinkage-based statistics improve performance, and the situations in which such improvements are larger. Our evaluation uses both extensive simulations and controlled biological experiments. OMICS is one such organization which freely publishes online journals where quality information resides and students, academicians etc can improve their knowledge by freely accessing these journals. OMICS Group International is one of the leading Open Access Publishers which is publishing 700+ peer-reviewed journals. Molecular Biology is one of the best online open access journals which publish original research, review, Short communication, and Case study in the field of Molecular Biology and its current research. It has world quality editorial board members in order to develop its standards.
Last date updated on July, 2014