To compare gene expression levels between two biological samples, normal cells vs tumor cells for example, it is critical to have a normalization control. Historically, this has been accomplished ...

Remove unwanted variation (RUV) is a new statistical method for RNA-seq data normalization that uses control genes or samples to improve differential expression analysis.

Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric data for use in a machine learning system such as a deep neural ...

Normalization is a critical step in obtaining reliable and reproducible quantitative western blotting. Under ideal conditions, normalization would not be necessary, but factors such as sample loading ...

A topic that's often very confusing for beginners when using neural networks is data normalization and encoding. Because neural networks work internally with numeric data, binary data (such as sex, ...

Moreover, normalized samples better correlated with both other normalized samples and corresponding physiological data, such as blood glucose level, glycated haemoglobin, exercise central augmentation ...