header photo

Blog posts : "machine learning"

Jessie wins 2nd place for her poster at SETAC Nontarget Analysis for Environmental Risk Assessment!

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

https://twitter.com/bakerlab…

Read more

Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology (2021) PLoS Comput Biol

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…

Read more

Nnamdi wins Best Poster award at 2021 Genomic Sciences Symposium!

Nnamdi Osakwe won the "Best Poster" award at the 2021 Genomic Science Symposium for his presentation entitled: "Building Comprehensive Models of Environmental Integrity" 

 

Read more

Adrian presents seminar at Coffee & Viz seminar series

https://www.lib.ncsu.edu/events/coffee-viz-visualization-and-pattern-recognition-high-dimensional-zebrafish-behavioral

 

Coffee & Viz: Visualization and Pattern Recognition in High-Dimensional Zebrafish Behavioral Studies using Deep Learning

Read more

The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning (2021) Environmental Health Perspectives

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…

Read more

5 blog posts