Background: Normalization is essential in dual-labelled microarray data analysis to remove nonbiological variations and systematic biases. Many normalization methods have been use...
Huiling Xiong, Dapeng Zhang, Christopher J. Martyn...
Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
Background: Subcellular localization information is one of the key features to protein function research. Locating to a specific subcellular compartment is essential for a protein...
Song Zhang, Xuefeng Xia, Jincheng Shen, Yun Zhou, ...
Background: Non-biological signal (or noise) has been the bane of microarray analysis. Hybridization effects related to probe-sequence composition and DNA dye-probe interactions h...
Dustin P. Potter, Pearlly Yan, Tim Hui-Ming Huang,...
Background: Compared to other omics techniques, quantitative metabolomics is still at its infancy. Complex sample preparation and analytical procedures render exact quantification...