Yen S. Low, Ph.D.
Affiliations: | 2013 | Environmental Sciences & Engineering | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
Toxicology, Molecular Chemistry, Bioinformatics Biology, EpidemiologyGoogle:
"Yen Low"Parents
Sign in to add mentorIvan Rusyn | grad student | 2013 | UNC Chapel Hill | |
(Toxicity prediction using multi-disciplinary data integration and novel computational approaches.) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Low Y, Alves VM, Fourches D, et al. (2018) Chemistry-Wide Association Studies (CWAS): A Novel Framework for Identifying and Interpreting Structure-Activity Relationships. Journal of Chemical Information and Modeling |
Alves V, Muratov E, Capuzzi S, et al. (2016) Alarms about structural alerts. Green Chemistry : An International Journal and Green Chemistry Resource : Gc. 18: 4348-4360 |
Low YS, Daugherty AC, Schroeder EA, et al. (2016) Synergistic drug combinations from electronic health records and gene expression. Journal of the American Medical Informatics Association : Jamia |
Low YS, Caster O, Bergvall T, et al. (2015) Cheminformatics-aided pharmacovigilance: application to Stevens-Johnson Syndrome. Journal of the American Medical Informatics Association : Jamia |
Harpaz R, Callahan A, Tamang S, et al. (2014) Text mining for adverse drug events: the promise, challenges, and state of the art. Drug Safety. 37: 777-90 |
Low YS, Sedykh AY, Rusyn I, et al. (2014) Integrative approaches for predicting in vivo effects of chemicals from their structural descriptors and the results of short-term biological assays. Current Topics in Medicinal Chemistry. 14: 1356-64 |
Low Y, Sedykh A, Fourches D, et al. (2014) Chemistry-wide association studies (CWAS) to determine joint toxicity effects of co-occurring chemical features Journal of Cheminformatics. 6 |
Low Y, Sedykh A, Fourches D, et al. (2013) Integrative chemical-biological read-across approach for chemical hazard classification. Chemical Research in Toxicology. 26: 1199-208 |
Rusyn I, Sedykh A, Low Y, et al. (2012) Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data. Toxicological Sciences : An Official Journal of the Society of Toxicology. 127: 1-9 |
Low Y, Uehara T, Minowa Y, et al. (2011) Predicting drug-induced hepatotoxicity using QSAR and toxicogenomics approaches. Chemical Research in Toxicology. 24: 1251-62 |