NormalyzerDE : Online Tool for Improved Normalization of Omics Expression Data and High-Sensitivity Differential Expression Analysis
Technical biases are introduced in omics data sets during data generation and interfere with the ability to study biological mechanisms. Several normalization approaches have been proposed to minimize the effects of such biases, but fluctuations in the electrospray current during liquid chromatography-mass spectrometry gradients cause local and sample-specific bias not considered by most approache