When the healthcare industry talks about data, the conversation usually focuses on interoperability and data standards. These are certainly important topics, but they don’t fully address the challenge ...

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 ...

Microarrays have set the stage for an explosion of large-scale expression data, driven by a diversity of genome sequencing projects. The technology has already demonstrated its applications in ...

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 ...

Health Ministry’s Science Board Member Prof. Özlü says, “We have to start the normalization, but we definitely need to abide by the rules in doing this. What we call the rule is, in fact, extremely ...

There are many types of experimental methods that often use normalization to fix the differences induced by factors other than what is immediately being analyzed. In particular, normalization can be ...