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stat.ME2026
Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis
Marion Kerioui, Daniel Temko, Shahin Tavakoli +1
High-dimensional biomarkers such as gene expression levels are now routinely measured over time, allowing biological processes to be studied dynamically rather than through cross-s…
stat.ME2026
A scalable Bayesian functional factor model for high-dimensional longitudinal molecular data
Salima Jaoua, Daniel Temko, Hélène Ruffieux
Large-scale longitudinal molecular profiling is now firmly established in biomedical research, prompted by the need to uncover coordinated biomarker trajectories reflecting the dyn…