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 ...

We propose stringing, a class of methods where one views high-dimensional observations as functional data. Stringing takes advantage of the high dimension by representing such data as discretized and ...

The identification of evolutionarily constrained sequences is an unbiased approach for finding functional sequences in genomes. However, their identification is strongly affected by upstream analyses.

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 ...