Manon Martin -

: An R package designed for the linear modeling of high-dimensional designed data based on the ASCA/APCA family.

While her focus is statistical, her work is applied across diverse scientific areas: manon martin

Manon Martin is a prominent researcher at the , specializing in biostatistics and the analysis of high-dimensional "omics" data. Her work primarily focuses on developing statistical frameworks and software to interpret complex experimental designs in fields like metabolomics and peptidomics. : An R package designed for the linear

The primary goal of Martin’s research is to bridge the gap between complex experimental designs (e.g., multifactorial, longitudinal, or unbalanced designs) and the analysis of high-dimensional data, such as NMR spectra or mass spectrometry. She develops methods that allow scientists to extract meaningful biological insights from data that would otherwise be confounded by noise or complex variables. The primary goal of Martin’s research is to