Normalization is essential to get rid of biases in microarray data for their accurate analysis. Existing normalization methods for microarray gene expression data commonly assume a similar global ...

Metabolomics aims at characterizing metabolic biomarkers by analytically describing complex biological samples 1. At present, the metabolomics based on liquid chromatography mass spectrometry (LC/MS) ...

We collected a unique pair of microRNA sequencing data sets for the same set of tumor samples; one data set was collected with and the other without uniform handling and balanced design. The former ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...