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Full-Text Articles in Life Sciences
Unifying Community Detection Across Scales From Genomes To Landscapes, Stephanie F. Hudon, Andrii Zaiats, Anna Roser, Anand Roopsind, Cristina Barber, Brecken Robb, Britt Pendleton, Merry M. Davidson, Jonas Frankel-Bricker, Marcella Fremgen-Tarantino, Jennifer Sorensen Forbey, Eric Hayden, Olivia K. Rodriguez, T. Trevor Caughlin
Unifying Community Detection Across Scales From Genomes To Landscapes, Stephanie F. Hudon, Andrii Zaiats, Anna Roser, Anand Roopsind, Cristina Barber, Brecken Robb, Britt Pendleton, Merry M. Davidson, Jonas Frankel-Bricker, Marcella Fremgen-Tarantino, Jennifer Sorensen Forbey, Eric Hayden, Olivia K. Rodriguez, T. Trevor Caughlin
Biology Faculty Publications and Presentations
Biodiversity science encompasses multiple disciplines and biological scales from molecules to landscapes. Nevertheless, biodiversity data are often analyzed separately with discipline-specific methodologies, constraining resulting inferences to a single scale. To overcome this, we present a topic modeling framework to analyze community composition in cross-disciplinary datasets, including those generated from metagenomics, metabolomics, field ecology and remote sensing. Using topic models, we demonstrate how community detection in different datasets can inform the conservation of interacting plants and herbivores. We show how topic models can identify members of molecular, organismal and landscape-level communities that relate to wildlife health, from gut microbes to forage …