Adrian Green won the Elsevier Postdoctoral Award from the Computational Toxicology Special Section (CTSS) of the Society of Toxicology (SOT)!
Blog posts : "adrian green"
Final acceptance of SOT 2022 session “Deep Learning and Graph Algorithms: New Approaches in Computational Toxicology”
Adrian Green and David Reif partnered with colleagues Carolyn Ring (U.S. EPA), John Wambaugh (U.S. EPA), and Alicia Frame (Neo4j) to propose the SOT session “Deep Learning and Graph Algorithms: New Approaches in Computational Toxicology”. The session has been finally accepted with the following deta…
High-throughput screening and genome-wide analyses of 44 anticancer drugs in the 1000 Genomes cell lines reveals an association of the NQO1 gene with the response of multiple anticancer drugs (2021) PLoS Genetics
Akhtari FS, Green AJ, Small GW, Havener TM, House JS, Roell KR, Reif DM, McLeod HL, Wiltshire T, Motsinger-Reif AA. High-throughput screening and genome-wide analyses of 44 anticancer drugs in the 1000 Genomes cell lines reveals an association of the NQO1 gene with the response of multiple anticance…
Ricardo Gonzalez wins Elliot Vesell Award for 2021 AACP!
Ricardo's has been selected as the Elliot S. Vesell Award Winner for the 2021 Virtual Annual Meeting of the American College of Clinical Pharmacology
Functional Follow-Up of GWAS Associated SNP Effects in tThe RYK and MKXAS1 Genes Associated with Drug Response Variation of Monotherapy Temozol…
Adrian presents at International Society for Computational Biology conference
Adrian presented "LEVERAGING HIGH-THROUGHPUT SCREENING DATA, DEEP NEURAL NETWORKS, AND CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS TO ADVANCE PREDICTIVE TOXICOLOGY" at ISMB/ISCB 2021.
https://www.iscb.org/ismbeccb2021
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…
Extending the lymphoblastoid cell line model for drug combination pharmacogenomics (2021) Pharmacogenomics
Green AJ, Anchang B, Akhtari FS, Reif DM, Motsinger-Reif A. Extending the lymphoblastoid cell line model for drug combination pharmacogenomics. Pharmacogenomics. 2021 May 28. doi: 10.2217/pgs-2020-0160. Epub ahead of print. PMID: 34044623.
https://pubmed.ncbi.nlm.nih.gov/34044623/
Adrian elected postdoctoral representative to the Computational Toxicology Study Section of SOT
Adrian Green was elected as the 2021-22 postdoctoral representative to the Computational Toxicology Study Section of the Society of Toxicology (SOT).
Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework (2021) Education Sciences
Gilchrist PO, Alexander AB, Green AJ, Sanders FE, Hooker AQ, Reif DM. Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework. Education Sciences. 2021; 11(3):109. https://doi.org/10.3390/educsci11030109
Abstract
Computational thin…
Farida's SOT abstract wins "Top 10" award from Computational Toxicology Speciality Section
Top 10 SOT-CTSS Abstract Awards Winner (Top 5% of all posters): F. Akhtari, G. Small, T. Havener, K. Roell, A. Green, J. House, D. Reif, H.McLeod, T. Wiltshire, A. Motsinger-Reif. High-throughput screening and genome-wide analyses of 44 anticancer drugs in the 1000 Genome cell lines reveals an assoc…
Adrian works with the Science House to develop and teach STEM course for Grades 6-8
Adrian worked with Pam Gilchrist in the Science House to develop and teach a grade 6-8 course for the Imhotep Academy. The course was "Disease Detectives: The World of Epidemiology"
There is also an associated manuscri…
Adrian presents seminar at Coffee & Viz seminar series
Coffee & Viz: Visualization and Pattern Recognition in High-Dimensional Zebrafish Behavioral Studies using Deep Learning
Farida's presentation wins Reviewer's Choice Award at ASHG Annual Meeting
Reviewers' Choice Award Winner (Top 10% of all posters):
F. Akhtari, G. Small, T. Havener, K. Roell, A. Green, J. House, D. Reif, H. McLeod, T. Wiltshire, A. Motsinger-Reif. High-throughput screening and genome-wide analyses of 44 anticancer drugs in the 1000 Genome cell lines reveals an associa…
Adrian Green presents at Statistical and Applied Mathematical Sciences Institute
Adrian will present his work on Deep Learning Neural Networks for Toxicology with Martin Mohlenkamp and the Novel Applications team.
Adrian Green gives a class on Singularity containers for cluster computing
The class was given with Chris Smith of the Bioinformatics Research Center.
Adrian chairs session at the symposium "Interactions Between the Brain and the Environment"
Adrian Green chaired the opening session of the Fourth Annual CHHE Symposium.
This year's theme was the exploration of the importance of environmental exposures on the brain, behavior, and neurodevelopmental outcomes.
Dr. Adrian Green joins the Reif Lab!
Dr. Adrian Green is a Postdoctoral Research Scholar in the Bioinformatics Research Center at NC State University. He received his Ph.D. in Toxicology at NC State University, and his M.S. in Pharmacology and Toxicology at the University of California, Davis. He received his B.S. in Microbiology (mino…
Joint retreat in Oregon with Tanguay + Reif labs
The Tanguay + Reif labs met in Oregon for their second joint retreat.
The retreat started with scientific sessions and lab tours at Oregon State University and the Sinnhuber Aquatic Research Lab (SARL) in Corvallis. We then moved to the Oregon Coast for more scientific sessions, hiking, and int…
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