Comparison of expression data requires normalization. The optimum normalization method depends on sample type, with the most common being to normalize to reference genes. It is critical to select ...

It’s tempting just to replicate all databases in the cloud, but it’s a much better approach to get your data house in order as part of the move. Last week I discussed database normalization as ...

James McCaffrey explains how to normalize and encode neural network data from a developer's point of view.

James McCaffrey explains how to normalize and encode neural network data from a developer's point of view.

Arguably, the two biggest challenges in the FAST ecosystem are managing the ad experience and delivering ROI for the brands that support the platform. Experts, from Fremantle's Laura Florence to Fuse ...

Many people seem to become filled with anxiety over the word 'normalization.' Mentioning the word causes folks to slowly back away toward the exits. Why? What might have caused this data modeling ...

When normalizing data structures, attributes congregate around the business keys that identify the grain at which those attributes derive their values. Attributes directly related to a person, ...

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.