Gerald J. Wyckoff
Affiliations: | University of Missouri-Kansas City, Kansas City, MO, United States |
Area:
Evolutionary Biology, BioinformaticsGoogle:
"Gerald Wyckoff"Cross-listing: Evolution Tree
Parents
Sign in to add mentor| Richard Gerald Harrison | research assistant | 1992-1994 | Ag. and Life Sciences (Marine Ecology Tree) | |
| Chung-I Wu | grad student | 1994-2000 | Chicago | |
| (Detecting positive selection at the molecular level: New and revised methods for the analysis of divergence and polymorphism.) | ||||
| Bruce T. Lahn | post-doc | 2000-2002 | Division of Biological Sciences, Pritzker School of Medicine (Evolution Tree) | |
Children
Sign in to add trainee| Scott Foy | grad student | University of Missouri-Kansas City | |
| Floyd L. "Lee" Likins | grad student | University of Missouri-Kansas City | |
| Ming Yang | grad student | University of Missouri-Kansas City | |
| Joshua M Staley | grad student | 2017-2019 | Kansas State University |
| Jason Wilson | grad student | 2017-2019 | University of Missouri-Kansas City |
| Purva Patel | grad student | 2018-2021 | University of Missouri-Kansas City |
| Sadia Sikder | grad student | 2018-2021 | University of Missouri-Kansas City |
| Andrew Skaff | post-doc | University of Missouri-Kansas City | |
| Jessica Kawakami | post-doc | 2017- | University of Missouri-Kansas City |
| Ubadah Sabbagh | research scientist | 2013-2015 | University of Missouri-Kansas City |
Collaborators
Sign in to add collaborator| Brian V. Geisbrecht | collaborator | (Cell Biology Tree) | |
| Henry M. Miziorko | collaborator | (Chemistry Tree) | |
| Jim E. Riviere | collaborator | (E-Tree) | |
| James Sikela | collaborator | (Neurotree) |
BETA: Related publications
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Publications
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| Xu X, Riviere JE, Raza S, et al. (2024) approaches to assessing multiple high-level drug-drug and drug-disease adverse drug effects. Expert Opinion On Drug Metabolism & Toxicology. 1-14 |
| Patel P, Gaddis M, Xu X, et al. (2023) A retrospective study of adverse drug events in anticoagulant administration with relevance to COVID-19. Heliyon. 9: e13763 |
| Xu X, Kawakami J, Millagaha Gedara NI, et al. (2021) Data-driven methodology for discovery and response to pulmonary symptomology in hypertension through statistical learning and data mining: Application to COVID-19 related pharmacovigilance. Elife. 10 |
| Jaberi-Douraki M, Meyer E, Riviere J, et al. (2021) Pulmonary adverse drug event data in hypertension with implications on COVID-19 morbidity. Scientific Reports. 11: 13349 |
| Stafford EG, Riviere JE, Xu X, et al. (2020) Pharmacovigilance in patients with diabetes: A data-driven analysis identifying specific RAS antagonists with adverse pulmonary safety profiles that have implications for COVID-19 morbidity and mortality. Journal of the American Pharmacists Association : Japha |
| Wilson J, Staley JM, Wyckoff GJ. (2020) Extinction of chromosomes due to specialization is a universal occurrence. Scientific Reports. 10: 2170 |
| Xu X, Mazloom R, Goligerdian A, et al. (2019) Making Sense of Pharmacovigilance and Drug Adverse Event Reporting: Comparative Similarity Association Analysis Using AI Machine Learning Algorithms in Dogs and Cats. Topics in Companion Animal Medicine. 37: 100366 |
| Staley J, Mazloom R, Lowe P, et al. (2019) Novel Data Sharing Agreement to Accelerate Big Data Translational Research Projects in the One Health Sphere. Topics in Companion Animal Medicine. 37: 100367 |
| Shortt K, Heruth DP, Zhang N, et al. (2019) Identification of Novel Regulatory Genes in APAP Induced Hepatocyte Toxicity by a Genome-Wide CRISPR-Cas9 Screen. Scientific Reports. 9: 1396 |
| Garcia BL, Skaff DA, Chatterjee A, et al. (2017) Identification of C3b-Binding Small-Molecule Complement Inhibitors Using Cheminformatics. Journal of Immunology (Baltimore, Md. : 1950) |