: She has authored accessible guides on Linear Regression, ANOVA, and Linear Mixed Models tailored specifically for chemists and life-science researchers. 4. Application Domains
While her focus is statistical, her work is applied across diverse scientific areas: manon martin
Manon Martin, PhD Primary Institution: UCLouvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) 1. Core Research Objective : She has authored accessible guides on Linear
To ensure her theoretical work is accessible to the broader scientific community, Martin actively develops open-source tools: Core Research Objective To ensure her theoretical work
: 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 compared and enhanced techniques like AMOPLS and AComDim , extending them to unbalanced experimental designs using Generalized Linear Model (GLM) versions of matrix decomposition.
: An R package designed for the linear modeling of high-dimensional designed data based on the ASCA/APCA family.