: She has authored accessible guides on Linear Regression, ANOVA, and Linear Mixed Models tailored specifically for chemists and life-science researchers. 4. Application Domains
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. manon martin
: In the field of single-cell proteomics, she contributed to scplainer , a tool using linear models to understand variation in mass spectrometry-generated peptidomics data. 3. Software Development : She has authored accessible guides on Linear
While her focus is statistical, her work is applied across diverse scientific areas: Software Development While her focus is statistical, her
: An R package designed for the linear modeling of high-dimensional designed data based on the ASCA/APCA family.