A Novel Approach to Evaluating Disease Risk Through the Incorporation of Machine Learning and Lipidomic Data
Jessie Chappel, Mary King, Rachel DeHoog, Livia S. Eberlin, David Reif, Erin S. Baker
https://twitter.com/BakerlabNCSU/status/1528756028728385538/photo/2
Green AJ, Mohlenkamp MJ, Das J, Chaudhari M, Truong L, Tanguay RL, et al. (2021) Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology. PLoS Comput Biol 17(7): e1009135. https://doi.org/10.1371/journal.pcbi.1…
Nnamdi Osakwe won the "Best Poster" award at the 2021 Genomic Science Symposium for his presentation entitled: "Building Comprehensive Models of Environmental Integrity"
Coffee & Viz: Visualization and Pattern Recognition in High-Dimensional Zebrafish Behavioral Studies using Deep Learning
Marvel SW, House JS, Wheeler M, Song K, Zhou YH, Wright FA, Chiu WA, Rusyn I, Motsinger-Reif A, Reif DM. The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning. Environ Health Perspect. 2021 Jan…
