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, ...

To illustrate the genotype-phenotype relationship of metabolic phenotypes in an environment, we require a map of genome-scale biochemical reactions and their comprehensive connections. The ...

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 ...

Digital pathology images from different hospitals often exhibit variations in color styles due to differences in staining processes, tissue handling, and scanning devices. Integrating data from ...

In composing a data model, the structures are put together thoughtfully and with intention. Data structures emerge from the application of semantics germane to the universe-of-discourse and filtered ...

Most projects benefit from having a data model. This article gives an overview of the most common types. At its heart, data modeling is about understanding how data flows through a system. Just as a ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...