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Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic
Saskia Comess, Hannah Wang, Susan Holmes +1
Pooled testing offers an efficient solution to the unprecedented testing demands of the COVID-19 pandemic, although with potentially lower sensitivity and increased costs to implem…
A Statistical Perspective on the Challenges in Molecular Microbial Biology
Pratheepa Jeganathan, Susan P. Holmes
High throughput sequencing (HTS)-based technology enables identifying and quantifying non-culturable microbial organisms in all environments. Microbial sequences have enhanced our…
Modeling the Heterogeneity in COVID-19's Reproductive Number and its Impact on Predictive Scenarios
Claire Donnat, Susan Holmes
The correct evaluation of the reproductive number for COVID-19 -- which characterizes the average number of secondary cases generated by each typical primary case -- is central…
Convex Hierarchical Clustering for Graph-Structured Data
Claire Donnat, Susan Holmes
Convex clustering is a recent stable alternative to hierarchical clustering. It formulates the recovery of progressively coalescing clusters as a regularized convex problem. While…
Constrained Bayesian ICA for Brain Connectome Inference
Claire Donnat, Leonardo Tozzi, Susan Holmes
Brain connectomics is a developing field in neurosciences which strives to understand cognitive processes and psychiatric diseases through the analysis of interactions between brai…
Uncertainty Quantification in Multivariate Mixed Models for Mass Cytometry Data
Christof Seiler, Lisa M. Kronstad, Laura J. Simpson +4
Mass cytometry technology enables the simultaneous measurement of over 40 proteins on single cells. This has helped immunologists to increase their understanding of heterogeneity,…