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Justin Mower
Justin Mower
Verified email at rice.edu
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Year
Chitosan‐heparin polyelectrolyte multilayers on cortical bone: Periosteum‐mimetic, cytophilic, antibacterial coatings
J Almodóvar, J Mower, A Banerjee, AK Sarkar, NP Ehrhart, MJ Kipper
Biotechnology and Bioengineering 110 (2), 609-618, 2013
432013
Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships
J Mower, D Subramanian, N Shang, T Cohen
AMIA, 2016
212016
Predicting adverse drug-drug interactions with neural embedding of semantic predications
HA Burkhardt, D Subramanian, J Mower, T Cohen
AMIA Annual Symposium Proceedings 2019, 992, 2019
162019
Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications
J Mower, D Subramanian, T Cohen
Journal of the American Medical Informatics Association 25 (10), 1339-1350, 2018
122018
Dopaminergic amacrine cells express opioid receptors in the mouse retina
SK Gallagher, JN Anglen, JM Mower, J Vigh
Visual Neuroscience 29 (3), 203-209, 2012
102012
aer2vec: distributed representations of adverse event reporting system data as a means to identify drug/side-effect associations
J Portanova, N Murray, J Mower, D Subramanian, T Cohen
AMIA Annual Symposium Proceedings 2019, 717, 2019
72019
Complementing observational signals with literature-derived distributed representations for post-marketing drug surveillance
J Mower, T Cohen, D Subramanian
Drug safety 43 (1), 67-77, 2020
52020
Augmenting aer2vec: Enriching distributed representations of adverse event report data with orthographic and lexical information
X Ding, J Mower, D Subramanian, T Cohen
Journal of Biomedical Informatics 119, 103833, 2021
12021
Improving Pharmacovigilance Signal Detection from Clinical Notes with Locality Sensitive Neural Concept Embeddings
J Mower, E Bernstam, H Xu, S Myneni, D Subramanian, T Cohen
AMIA Annual Symposium Proceedings 2022, 349, 2022
2022
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