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. Only peer-reviewed general are accepted for publication. This process facilitates the meticulous evaluation of the content in the article there by maintaining high quality of the journal. Scholarly journals which publish original scientific work are called as research articles and those which revise already existing data in brief are known as review articles. Both these articles follow a formal specific and unambiguous format to avoid bias and confusion. All the data like graphs, reports and tables are presented to support the content. Usually advertising is not seen but can be added only if it is relevant to the field. OMICS Group International is one of the leading Open Access Publishers which is publishing 700+ peer-reviewed journals with the dramatic effort of world quality editorial board members. Molecular Biology publishes original research, review, and Short communication, Case study in the field of molecular biology.
Last date updated on July, 2014