Network modeling transforms data into a structure of nodes and edges such that edges
represent relationships between pairs of objects, then extracts clusters of densely connected …

Predicted growth in world population will put unparalleled stress on the need for sustainable
energy and global food production, as well as increase the likelihood of future pandemics. In …

In this work we identify changes in high-resolution zones across the globe linked by
environmental similarity that have implications for agriculture, bioenergy, and zoonosis. We …

Current methods for defining SARS-CoV-2 lineages ignore the vast majority of the SARS-
CoV-2 genome. We develop and apply an exhaustive vector comparison method that …

Precision medicine is advancing patient care for complex human diseases. Discovery of
biomarkers to diagnose specific subtypes within a heterogeneous diseased population is a …

Handling missing data is a critical issue in nearly all analytical fields. Techniques that
address this problem are generally categorized as either imputation or deletion algorithms …

Biological pathways underlying complex traits of interest are comprised of numerous
analytes working in concert to produce the phenotype. Correlation network analysis (CNA) is …

Current methods for defining SARS-CoV-2 lineages ignore the vast majority of the SARS-
CoV-2 genome. We develop and apply an exhaustive vector comparison method that …