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Blog posts : "adrian green"

Pharmacogenomic Analyses Implicate B Cell Developmental Status and MKL1 as Determinants of Sensitivity toward Anti-CD20 Monoclonal Antibody Therapy (2023) Cells

Small GW, Akhtari FS, Green AJ, Havener TM, Sikes M, Quintanhila J, Gonzalez RD, Reif DM, Motsinger-Reif AA, McLeod HL, Wiltshire T. Pharmacogenomic Analyses Implicate B Cell Developmental Status and MKL1 as Determinants of Sensitivity toward Anti-CD20 Monoclonal Antibody Therapy. Cells. 2023 Jun 7…

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MKX-AS1 Gene Expression Associated with Variation in Drug Response to Oxaliplatin and Clinical Outcomes in Colorectal Cancer Patients (2023) Pharmaceuticals

Gonzalez RD, Small GW, Green AJ, Akhtari FS, Motsinger-Reif AA, Quintanilha JCF, Havener TM, Reif DM, McLeod HL, Wiltshire T. MKX-AS1 Gene Expression Associated with Variation in Drug Response to Oxaliplatin and Clinical Outcomes in Colorectal Cancer Patients. Pharmaceuticals (Basel). 2023 May 17;1…

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RYK Gene Expression Associated with Drug Response Variation of Temozolomide and Clinical Outcomes in Glioma Patients (2023) Pharmaceuticals

Gonzalez RD, Small GW, Green AJ, Akhtari FS, Havener TM, Quintanilha JCF, Cipriani AB, Reif DM, McLeod HL, Motsinger-Reif AA, Wiltshire T. RYK Gene Expression Associated with Drug Response Variation of Temozolomide and Clinical Outcomes in Glioma Patients. Pharmaceuticals. 2023; 16(5):726. https:…

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Adrian joins Sciome as a Senior Computational Toxicologist

Dr. Adrian Green has joined Sciome as a Senior Computational Toxicologist.

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Adrian presents at SOT

Adrian Green presented a platform talk at the SOT session “Deep Learning and Graph Algorithms: New Approaches in Computational Toxicology”

Adrian Green wins Postdoctoral Award from Computational Toxicology Special Section of SOT

Adrian Green won the Elsevier Postdoctoral Award from the Computational Toxicology Special Section (CTSS) of the Society of Toxicology (SOT)! 

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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…

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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…

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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…

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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/

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Adrian leads team to the Final Four of the EMGS Bioinformatics Challenge

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…

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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…

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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…

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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

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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…

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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.

https://www.samsi.info/programs-and-activities/semester-long-programs/past/2019-fall-semester-program-on-deep-learning/

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Adrian Green gives a class on Singularity containers for cluster computing

The class was given with Chris Smith of the Bioinformatics Research Center.

 

20 blog posts