Functional data analysis (FDA) extends classical statistics to the study of observations that vary over a continuum, such as curves, surfaces or images. In modern applications—from genomics and ...

Functional Data Analysis (FDA) has emerged as a versatile framework for the statistical modelling of information that naturally takes the form of curves, surfaces or more complex objects varying over ...

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

Single-cell functional analysis enables scientists to examine the unique characteristics of each cell within organs, tissues, and cell cultures. Unlike bulk-cell analysis, single-cell analysis allows ...

CHICAGO--(BUSINESS WIRE)--Today, DataForge, a leading data integration provider, has open-sourced a new framework for developing and managing data transformation code: DataForge Core. Tailor-made for ...

In today’s data-driven world, the ability to quickly and accurately analyze information effectively is a pivotal skill across a wide variety of different industries. If you have large amounts of data ...