From the 1 of 4 linked papers with an AI index.
4 papers
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…
Adaptive Bayesian computation for efficient biobank-scale genomic inference
Yiran Li, John Whittaker, Sylvia Richardson +1
Motivation: Modern biobanks, with unprecedented sample sizes and phenotypic diversity, have become foundational resources for genomic studies, enabling powerful cross-phenotype and…
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…
NExON-Bayes: A Bayesian approach to network estimation informed by ordinal covariates
Joseph Feest, Hélène Ruffieux, Camilla Lingjærde +1
In heterogeneous disease settings, accounting for intrinsic sample variability is crucial for obtaining reliable and interpretable omic network estimates. However, most graphical m…