Matthew T. Martin, Ph.D.
Affiliations: | 2011 | Environmental Sciences & Engineering | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
Toxicology, Bioinformatics BiologyGoogle:
"Matthew Martin"Parents
Sign in to add mentor| Ivan Rusyn | grad student | 2011 | UNC Chapel Hill | |
| (Using high throughput screening for predictive modeling of reproductive toxicity.) | ||||
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Publications
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| Ly Pham L, Watford S, Pradeep P, et al. (2020) Variability in studies: Defining the upper limit of performance for predictions of systemic effect levels. Computational Toxicology (Amsterdam, Netherlands). 15: 1-100126 |
| Paul-Friedman K, Martin M, Crofton KM, et al. (2019) Limited Chemical Structural Diversity Found to Modulate Thyroid Hormone Receptor in the Tox21 Chemical Library. Environmental Health Perspectives. 127: 97009 |
| Pham LL, Truong L, Ouedraogo G, et al. (2019) Profiling 58 compounds including cosmetic-relevant chemicals using ToxRefDB and ToxCast. Food and Chemical Toxicology : An International Journal Published For the British Industrial Biological Research Association. 110718 |
| Watford S, Ly Pham L, Wignall J, et al. (2019) ToxRefDB version 2.0: Improved utility for predictive and retrospective toxicology analyses. Reproductive Toxicology (Elmsford, N.Y.) |
| Watford SM, Grashow RG, De La Rosa VY, et al. (2018) Novel application of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene sets associated with disease: use case in breast carcinogenesis. Computational Toxicology (Amsterdam, Netherlands). 7: 46-57 |
| Wetmore BA, Clewell RA, Cholewa B, et al. (2018) Assessing bioactivity-exposure profiles of fruit and vegetable extracts in the BioMAP profiling system. Toxicology in Vitro : An International Journal Published in Association With Bibra |
| Haggard DE, Karmaus AL, Martin MT, et al. (2017) High-throughput H295R steroidogenesis assay: utility as an alternative and a statistical approach to characterize effects on steroidogenesis. Toxicological Sciences : An Official Journal of the Society of Toxicology |
| Truong L, Ouedraogo G, Pham L, et al. (2017) Predicting in vivo effect levels for repeat-dose systemic toxicity using chemical, biological, kinetic and study covariates. Archives of Toxicology |
| Strickland JD, Martin MT, Richard AM, et al. (2017) Screening the ToxCast phase II libraries for alterations in network function using cortical neurons grown on multi-well microelectrode array (mwMEA) plates. Archives of Toxicology |
| Chiu WA, Guyton KZ, Martin MT, et al. (2017) Use of high-throughput in vitro toxicity screening data in cancer hazard evaluations by IARC Monograph Working Groups. Altex |