Manon — Martin

: She has authored accessible guides on Linear Regression, ANOVA, and Linear Mixed Models tailored specifically for chemists and life-science researchers. 4. Application Domains

: She has compared and enhanced techniques like AMOPLS and AComDim , extending them to unbalanced experimental designs using Generalized Linear Model (GLM) versions of matrix decomposition. 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. : She has authored accessible guides on Linear

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