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 ...

Uncovering changes across multiple biological conditions is a lasting theme in large-scale genomic data analyses across many types of studies. Examples include the analysis of tissue-specificity of ...

Low-dimensional reduced models of high-dimensional nonlinear dynamical systems are critically needed in various branches of applied science and engineering. Such simplified models would significantly ...