bayesian modeling 1clustering 1dimensionality reduction 1functional data analysis 1gene expression 1time series 1
From the 1 of 2 linked papers with an AI index.
2 papers
stat.ME2026
Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis
Marion Kerioui, Daniel Temko, Shahin Tavakoli +1
The paper proposes a Bayesian Partition Functional Principal Component Analysis (PFPCA) model that jointly reduces dimensionality, clusters genes, and captures shared temporal patt…
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…