Functional Data Analysis (FDA) is an increasingly central statistical framework that extends conventional data analysis to observations recorded as functions, curves or shapes. This approach ...

Nonparametric regression for functional data provides a flexible statistical framework for modelling relationships between a scalar response and predictors that are inherently functional in nature.

Feromics Inc., the first-of-its-kind functional immunomics platform built from the biology up, presented its Intelligent Design™ platform at the MIT AI Conference in Cambridge, Massachusetts on ...

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 ...

Single-cell biology has transformed how we decode cellular heterogeneity, but a new frontier is emerging: understanding what individual cells do, not just what they express. The ability to observe ...

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 ...

The object-oriented paradigm popularized by languages including Java and C++ has slowly given way to a functional programming approach that is advocated by popular Python libraries and JavaScript ...