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.

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 ...

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 ...

Functional connectivity reveals brain attractors that match predictions of free‑energy‑minimizing attractor theory, yielding an interpretable generative model of brain dynamics in rest, task, and ...

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 ...