3 papers
stat.AP2025
Leveraging ontologies to predict biological activity of chemicals across genes
Jennifer N. Kampe, David B. Dunson, Celeste K. Carberry +3
High-throughput screening (HTS) is useful for evaluating chemicals for potential human health risks. However, given the extraordinarily large number of genes, assay endpoints, and…
stat.ME2025
Link prediction in ecological networks under extreme taxonomic bias
Jennifer N. Kampe, Camille M. M. DeSisto, David B. Dunson
Ecological networks offer powerful insights into community function, but without first characterizing these networks accurately, our ability to detect and interpret changes under e…
stat.ME2024
Nested exemplar latent space models for dimension reduction in dynamic networks
Jennifer Noelle Kampe, Luca Alessandro Silva, Tomas Roslin +1
Dynamic latent space models are widely used for characterizing changes in networks and relational data over time. These models assign to each node latent attributes that characteri…