SRP Data Science and Data Sharing Publications

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This page provides a bibliography of data science and data sharing publications from SRP grantees.

2023

Eaves LA, Lanier P, Enggasser AE, Chung G, Turla T, Rager JE, Fry RC. 2023. Generation of the chemical and social stressors integration technique (CASS-IT) to identify areas of holistic public health concern: an application to North Carolina. Sci Total Environ 862:160409. [Abstract]
Hu XC, Dai M, Sun JM, Sunderland EM. 2023. The utility of machine learning models for predicting chemical contaminants in drinking water: promise, challenges, and opportunities. Curr Environ Health Rep 10(1):45-60. [Full Text]

2022

Armstrong MD, Vickers R, Coronell O. 2022. Dataset of reverse osmosis membrane transport properties calculated with and without assumptions about concentration polarization and solute rejection and the errors associated with each assumption. Data Brief 44:108538. [Full Text]
Bajomo MM, Ju Y, Zhou J, Elefterescu S, Farr C, Zhao Y, Neumann O, Nordlander P, Patel A, Halas NJ. 2022. Computational chromatography: A machine learning strategy for demixing individual chemical components in complex mixtures. Proc Natl Acad Sci USA 119(52):e2211406119. [Abstract]
Beykal B, Diangelakis NA, Pistikopoulos EN. 2022. Continuous-time surrogate models for data-driven dynamic optimization. ESCAPE 51:205-210. [Abstract]
Bhattacharyya A, Pal S, Mitra R, Rai S. 2022. Applications of Bayesian shrinkage prior models in clinical research with categorical responses. BMC Med Res Methodol 22(1):126. [Full Text]
Bilbao A, Gibbons BC, Stow SM, Kyle JE, Bloodsworth KJ, Payne SH, Smith RD, Ibrahim YM, Baker ES and Fjeldsted JC. 2022. A Preprocessing Tool for Enhanced Ion Mobility-Mass Spectrometry-Based Omics Workflows. J Proteome Res 21(3):798-807. [Abstract]
Carpenito T, Manjourides J. 2022. MISL: Multiple imputation by super learning. Stat Methods Med Res; doi:10.1177/09622802221104238 [Online 5 June 2022]. [Abstract]
Chiu WA, Lynch MT, Lay CR, Antezana A, Malek P, Sokolinski S, Rogers RD. 2022. Bayesian estimation of human population toxicokinetics of PFOA, PFOS, PFHxS, and PFNA from studies of contaminated drinking water. Environ Health Perspect 130(12):127001. [Full Text]
Eaves LA, Keil AP, Rager JE, George A, Fry RC. 2022. Analysis of the novel NCWELL database highlights two decades of co-occurrence of toxic metals in North Carolina private well water: public health and environmental justice implications. Sci Total Environ 812:151479. [Abstract]
El Saie A, Fu CL, Grimm SL, Robertson MJ, Hoffman K, Putluri V, Ambati CSR, Putluri N, Shivanna B, Coarfa C and Pammi M. 2022. Metabolome and microbiome multi-omics integration from a murine lung inflammation model of bronchopulmonary dysplasia. Pediatr Res; doi: 10.1038/s41390-022-02002-1 [Online 25 March 2022]. [Abstract]
Ewald JM, Schnoor JL, Mattes TE. 2022. Combined read- and assembly-based metagenomics to reconstruct a Dehalococcoides mccartyi genome from PCB-contaminated sediments and evaluate functional differences among organohalide-respiring consortia in the presence of different halogenated contaminants. FEMS Microbial Ecol 98(7):fiac067. [Abstract]
Ewald JM, Schnoor JL, Mattes TE. 2022. Metagenomes, metagenome-assembled genomes, and metatranscriptomes from polychlorinated biphenyl-contaminated sediment microcosms. Microbiol Resour Announc 11(7):e0112621. [Abstract]
Foster M, Rainey M, Watson C, Dodds JN, Kirkwood KI, Fernández FM, Baker ES. 2022. Uncovering PFAS and other xenobiotics in the dark metabolome using ion mobility spectrometry, mass defect analysis, and machine learning. Environ Sci Technol 56(12):9133-9143. [Abstract]
Gourronc FA, Helm BK, Robertson LW, Chimenti MS, Lehmler HJ, Ankrum JA, Klingelhutz AJ. 2022. Dataset of transcriptomic changes that occur in human preadipocytes over a 3-day course of exposure to 3,3',4,4',5-Pentachlorobiphenyl (PCB126). Data Brief 45:108571. [Full Text]
Howe CG, Nozadi SS, Garcia E, O’Connor TG, Starling AP, Farzan SF, Jackson BP, Madan JC, Alshawabkeh AN, Cordero JF, Bastain TM, Meeker JD, Breton CV, Karagas MR. 2022. Prenatal metal(loid) mixtures and birth weight for gestational age: a pooled analysis of three cohorts participating in the ECHO program. Environ Int 161:107102. [Full Text]
Hubal EAC, DeLuca NM, Mullikin A, Slover R, Little JC, Reif DM. 2022. Demonstrating a systems approach for integrating disparate data streams to inform decisions on children’s environmental health. BMC Public Health 22:313. [Full Text]
Kirkwood KI, Fleming J, Nguyen H, Reif DM, Baker ES, Belcher SM. 2022. Utilizing pine needles to temporally and spatially profile per- and polyfluoroalkyl substances (PFAS). Environ Sci Technol 56(6):3441-3451. [Abstract]
Kirkwood KI, Pratt BS, Shulman N, Tamura K, MacCoss MJ, MacLean BX, Baker ES. 2022. Utilizing Skyline to analyze lipidomics data containing liquid chromatography, ion mobility spectrometry and mass spectrometry dimensions. Nat Protoc; doi:10.1038/s41596-022-00714-6 [Online 13 July 2022]. [Abstract]
Koval LE, Dionisio KL, Friedman KP, Isaacs KK, Rager JE. 2022. Environmental mixtures and breast cancer: identifying co-exposure patterns between understudied vs breast cancer-associated chemicals using chemical inventory informatics. J Expo Sci Environ Epidemiol; doi:10.1038/s41370-022-00451-8 [Online 16 June 2022]. Abstract]
Kowalczewski A, Sakolish C, Hoang P, Liu X, Jacquir S, Rusyn I, Ma Z. 2022. Integrating nonlinear analysis and machine learning for human induced pluripotent stem cell-based drug cardiotoxicity testing. J Tissue Eng Regen Med; doi:10.1002/term.3325 [Online 27 May 2022]. [Abstract]
Ojha S, Li Y, Rezaei N, Robinson A, Hoover A, Pennell KG. 2022. A geospatial and binomial logistic regression model to prioritize sampling for per- and polyfluorinated alkyl substances in public water systems. Integr Environ Assess Manag; doi: 10.1002/ieam.4614 [Online 4 April 2022]. [Abstract]
Pammi M, Aghaeepour N, Neu J. 2022. Multiomics, artificial intelligence, and precision medicine in perinatology. Pediatr Res; doi:10.1038/s41390-022-02181-x [Online 8 July 2022]. [Abstract]
Rahman SM, Lan J, Kaeli D, Dy J, Alshawabkeh A, Gu AZ. 2022. Machine learning-based biomarkers identification from toxicogenomics – bridging to regulatory relevant phenotypic endpoints. J Hazard Mater 423(Pt B):127141. [Abstract]
Rainey MA, Watson CA, Asef CK, Foster MR, Baker ES, Fernández FM. 2022. CCS predictor 2.0: an open-source jupyter notebook tool for filtering out false positives in metabolomics. Anal Chem 94(50):17456-17466. [Abstract]
Ramaprasad ASE, Smith MT, McCoy D, Hubbard AE, La Merrill MA, Durkin KA. 2022. Predicting the binding of small molecules to nuclear receptors using machine learning. Brief Bioinform; doi: 10.1093/bib/bbac114 [Online 5 April 2022]. [Abstract]
Reed JR, Guidry JJ and Backes WL. 2022. Proteomic and Bioinformatics Analysis of Membrane Lipid Domains after Brij 98 Solubilization of Uninduced and Phenobarbital-Induced Rat Liver Microsomes: Defining the Membrane Localization of the P450 Enzyme System. Drug Metab Dispos 50:374-385. [Abstract]
Rivera BN, Ghetu CC, Chang Y, Truong L, Tanguay RL, Anderson KA, Tilton SC. 2022. Leveraging multiple data streams for prioritization of mixtures for hazard characterization. Toxics 10(11):651. [Full Text]
Roell K, Koval LE, Boyles R, Patlewicz G, Ring C, Rider CV, Ward-Caviness C, Reif DM, Jaspers I, Fry RC, Rager JE. 2022. Development of the intelligence and machine learning (TAME) toolkit for introductory data science, chemical-biological analyses, predictive modeling, and database mining for environmental health research. Front Toxicol 4:893924. [Full Text]
Rusyn I, Chiu WA. 2022. Decision-Making with New Approach Methodologies: Time to Replace Default Uncertainty Factors with Data. Toxicol Sci; doi: 10.1093/toxsci/kfac033 [Online 11 April 2022]. [Abstract]
Shao K, Ji C, Chiu WA. 2022. Using prior toxicological data to support dose-response assessment-identifying plausible prior distributions for dichotomous dose-response models. Environ Sci Technol 56(22):16506-16516. [Abstract]
Thaiparambil J, Dong J, Grimm SL, Perera D, Ambati CSR, Putluri V, Robertson MJ, Patel TD, Mistretta B, Gunaratne PH, Kim MP, Yustein JT, Putluri N, Coarfa C, El-Zein R. 2022. Integrative metabolomics and transcriptomics analysis reveals novel therapeutic vulnerabilities in lung cancer. Cancer Med; doi:10.1002/cam4.4933 [Online 8 June 2022]. [Brief Bioinform; doi: 10.1093/bib/bbac114 [Online 5 April 2022]. [Abstract]
Reed JR, Guidry JJ and Backes WL. 2022. Proteomic and Bioinformatics Analysis of Membrane Lipid Domains after Brij 98 Solubilization of Uninduced and Phenobarbital-Induced Rat Liver Microsomes: Defining the Membrane Localization of the P450 Enzyme System. Drug Metab Dispos 50:374-385. [Abstract]
Rivera BN, Ghetu CC, Chang Y, Truong L, Tanguay RL, Anderson KA, Tilton SC. 2022. Leveraging multiple data streams for prioritization of mixtures for hazard characterization. Toxics 10(11):651. [Full Text]
Roell K, Koval LE, Boyles R, Patlewicz G, Ring C, Rider CV, Ward-Caviness C, Reif DM, Jaspers I, Fry RC, Rager JE. 2022. Development of the intelligence and machine learning (TAME) toolkit for introductory data science, chemical-biological analyses, predictive modeling, and database mining for environmental health research. Front Toxicol 4:893924. [Full Text]
Rusyn I, Chiu WA. 2022. Decision-Making with New Approach Methodologies: Time to Replace Default Uncertainty Factors with Data. Toxicol Sci; doi: 10.1093/toxsci/kfac033 [Online 11 April 2022]. [Abstract]
Shao K, Ji C, Chiu WA. 2022. Using prior toxicological data to support dose-response assessment-identifying plausible prior distributions for dichotomous dose-response models. Environ Sci Technol 56(22):16506-16516. [Abstract]
Thaiparambil J, Dong J, Grimm SL, Perera D, Ambati CSR, Putluri V, Robertson MJ, Patel TD, Mistretta B, Gunaratne PH, Kim MP, Yustein JT, Putluri N, Coarfa C, El-Zein R. 2022. Integrative metabolomics and transcriptomics analysis reveals novel therapeutic vulnerabilities in lung cancer. Cancer Med; doi:10.1002/cam4.4933 [Online 8 June 2022]. [Full Text]
Todero JE, Koch-Laskowski K, Shi Q, Kanke M, Hung YH, Beck R, Styblo M, Sethupathy P. 2022. Candidate master microRNA regulator of arsenic-induced pancreatic beta cell impairment revealed by multi-omics analysis. Arch Toxicol; doi: 10.1007/s00204-022-03263-9 [Online 21 March 2022]. [Full Text]
Varner PM, Gunsch CK. 2022. Complete genome sequence of NAH7-harboring pseudomonas putida strain G7. Microbiol Resour Announc 11(10):e0039422. [Full Text]
Wambaugh JF, Rager JE. 2022. Exposure forecasting - ExpoCast - for data-poor chemicals in commerce and the environment. J Expo Sci Environ Epdemiol 32(6):783-793. [Full Text]
Welch BM, Keil AP, Buckley JP, Calafat AM, Christenbury KE, Engel SM, O'Brien KM, Rosen EM, James-Todd T, Zota AR, Ferguson KK; Pooled Phthalate Exposure and Preterm Birth Study Group, Alshawabkeh AN, Cordero JF, Meeker JD, Barrett ES, Bush NR, Nguyen RHN, Sathyanarayana S, Swan SH, Cantonwine DE, McElrath TF, Aalborg J, Dabelea D, Starling AP, Hauser R, Messerlian C, Zhang Y, Bradman A, Eskenazi B, Harley KG, Holland N, Bloom MS, Newman RB, Wenzel AG, Braun JM, Lanphear BP, Yolton K, Factor-Litvak P, Herbstman JB, Rauh VA, Drobnis EZ, Sparks AE, Redmon JB, Wang C, Binder AM, Michels KB, Baird DD, Jukic AMZ, Weinberg CR, Wilcox AJ, Rich DQ, Weinberger B, Padmanabhan V, Watkins DJ, Hertz-Picciotto I, Schmidt RJ. 2022. Associations between prenatal urinary biomarkers of phthalate exposure and preterm birth: A pooled study of 16 US cohorts. JAMA Pediatr; doi:10.1001/jamapediatrics.2022.2252 [Online 11 July 2022] [Abstract]
Youn J, Rai N, Tagkopoulos I. Knowledge integration and decision support for accelerated discovery of antibiotic resistance genes. Nat Commun 13(1):2360. [Full Text]
Zhabotynsky V, Huang L, Little P, Hu YJ, Pardo-Manuel de Villena F, Zou F and Sun W. 2022. eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects. PLoS Genet 18:e1010076. [Full Text]
Zhang CY, Li X, Keil Stietz KP, Sethi S, Yang W, Marek RF, Ding X, Lein PJ, Hornbuckle KC, Lehmler HJ. 2022. Machine learning-assisted identification and quantification of hydroxylated metabolites of polychlorinated biphenyls in animal samples. Environ Sci Technol 56(18):13169-13178. [Abstract]
Zhou YH, Gallins PJ, Etheridge AS, Jima D, Scholl E, Wright FA, Innocenti F. 2022. A resource for integrated genomic analysis of the human liver. Sci Rep 12(1):15151. [Full Text]

2021

Aly NA, Casillas G, Luo YS, McDonald TJ, Wade TL, Zhu R, Newman G, Lloyd D, Wright FA, Chiu WA, Rusyn I. 2021. Environmental Impacts of Hurricane Florence Flooding in Eastern North Carolina: Temporal Analysis of Contaminant Distribution and Potential Human Health Risks. J Expo Sci Environ Epidemiol 31(5):810-822. [Full Text]
Aryal A, Harmon AC, Dugas TR. 2021. Particulate Matter Air Pollutants and Cardiovascular Disease: Strategies for Intervention Pharmacol Ther 223:107890. [Full Text]
Chen Z, Lloyd D, Zhou YH, Chiu WA, Wright FA, Rusyn I. 2021. Risk Characterization of Environmental Samples Using In Vitro Bioactivity and Polycyclic Aromatic Hydrocarbon Concentrations Data. Toxicol Sci 179(1):108-120. [Full Text]
Ganesh HS, Beykal B, Szafran AT, Stossi F, Zhou L, Mancini MA, Pistikopoulos EN. 2021. Predicting the Estrogen Receptor Activity of Environmental Chemicals by Single-Cell Image Analysis and Data-Driven Modeling. ESCAPE 50:481-486. [Full Text]
Marvel SW, House JS, Wheeler M, Song K, Zhou YH, Wright FA, Chiu WA, Rusyn I, Motsinger-Reif A, Reif DM. 2021. The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring County-Level Vulnerability Using Visualization, Statistical Modeling, and Machine Learning. Environ Health Perspect 129(1):17701. [Full Text]
Newman G, Malecha M, Atoba K. 2021. Integrating ToxPi Outputs with Arc GIS Dashboards to Identify Neighborhood Threat Levels of Contaminant Transferal During Flood Events. J Spat Sci. [Full Text]
Orr AA, Wang M, Beykal B, Ganesh HS, Hearon SE, Pistikopoulos EN, Phillips TD, Tamamis P. 2021. Combining Experimental Isotherms, Minimalistic Simulations, and a Model to Understand and Predict Chemical Adsorption onto Montmorillonite Clays. ACS Omega 6(22):14090-14103. [Full Text]
Powell CD, Moseley HNB. 2021. The mwtab Python Library for RESTful Access and Enhanced Quality Control, Deposition, and Curation of the Metabolomics Workbench Data Repository. Metabolites 11(3). [Full Text]
Roman-Hubers AT, Cordova AC, Aly NA, McDonald TJ, Lloyd DT, Wright FA, Baker ES, Chiu WA, Rusyn I. 2021. Data Processing Workflow to Identify Structurally Related Compounds in Petroleum Substances Using Ion Mobility Spectrometry-Mass Spectrometry. Energy Fuels 35(13):10529-10539. [Full Text]
Shaw JL, Semmens E, Okihiro M, Lewis JL, Hirschfeld M, Vanwagoner TM, Stephens L, Easa D, Ross JL, Graham N, Watson SE, Szyld EG, Dillard DA, Pyles LA, Darden PM, Carlson JC, Smith PG, Mcculloh RJ, Snowden JN, Adeky SH, Singleton R. 2021. Best Practices for Conducting Clinical Trials With Indigenous Children in the United States. Am J Public Health 111(9):1645-1653. [Full Text]
Stingone JA, Triantafillou S, Larsen A, Kitt JP, Shaw GM, Marsillach J. 2021. Interdisciplinary Data Science to Advance Environmental Health Research and Improve Birth Outcomes. Environ Res 197:111019. [Full Text]

2020

Bhandari S, Lewis PGT, Craft E, Marvel SW, Reif DM, Chiu WA. 2020. HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston-Galveston-Brazoria Region. Int J Environ Res Public Health 17(4). [Full Text]
Brown J, Phillips AR, Lewis DA, Mans MA, Chang Y, Tanguay RL, Peterson ES, Waters KM, Tilton SC. 2019. Bioinformatics Resource Manager: A Systems Biology Web Tool for microRNA and Omics Data Integration. BMC Bioinformatics 20(1):255. [Full Text]
Byrd DA, Chen J, Vogtmann E, Hullings A, Song SJ, Amir A, Kibriya MG, Ahsan H, Chen Y, Nelson H, Knight R, Shi J, Chia N, Sinha R. 2019. Reproducibility, Stability, and Accuracy of Microbial Profiles by Fecal Sample Collection Method in Three Distinct Populations. PLoS One 14(11):e0224757. [Full Text]
Chen Z, Liu Y, Wright FA, Chiu WA, Rusyn I. 2020. Rapid Hazard Characterization of Environmental Chemicals Using a Compendium of Human Cell Lines from Different Organs. ALTEX 37(4):623-638. [Full Text]
House JS, Grimm FA, Klaren WD, Dalzell A, Kuchi S, Zhang SD, Lenz K, Boogaard PJ, Ketelslegers HB, Gant TW, Wright FA, Rusyn I. 2020. Grouping of UVCB Substances with New Approach Methodologies (NAMs) Data. ALTEX 38(1):123-137. [Full Text]
House JS, Bouzos E, Fahy KM, Francisco VM, Lloyd DT, Wright FA, Motsinger-Reif AA, Asuri P, Wheeler KE. 2020. Low-Dose Silver Nanoparticle Surface Chemistry and Temporal Effects on Gene Expression in Human Liver Cells. Small 16(21):e2000299. [Full Text]
Malecha M, Kirsch K, Karaye I, Newman G, Horney J. 2020. Advancing the Toxics Mobility Inventory: Development of a Toxics Mobility Vulnerability Index and Application in Harris County, TX. Sustainability (New Rochelle) 13(6):282-291. [Full Text]
Mukherjee R, Beykal B, Szafran AT, Onel M, Stossi F, Mancini MG, Lloyd D, Wright FA, Zhou L, Mancini MA, Pistikopoulos EN. 2020. Classification of Estrogenic Compounds by Coupling High Content Analysis and Machine Learning Algorithms. PLoS Comput Biol 16(9):e1008191. [Full Text]
Sandhaus S, Kaufmann D, Ramirez-Andreotta M. 2019. Public Participation, Trust and Data Sharing: Gardens as Hubs for Citizen Science and Environmental Health Literacy Efforts. Int J Sci Educ B Commun Public Engagem 9(1):54-71. [Full Text]
Wilson LB, Truong L, Simonich MT, Tanguay RL. 2020. Systematic Assessment of Exposure Variations on Observed Bioactivity in Zebrafish Chemical Screening. Toxics 8(4). [Full Text]

2019

2018

Grimm F, Blanchette A, House JS, Ferguson K, Hsieh NH, Dalaijamts C, Wright AA, Anson B, Wright FA, Chiu WA, Rusyn I. 2018. A Human Population-Based Organotypic In Vitro Model for Cardiotoxicity Screening. ALTEX 35:441-452. [Full Text]
Marvel SW, To K, Grimm FA, Wright FA, Rusyn I, Reif DM. 2018. ToxPi Graphical User Interface 2.0: Dynamic Exploration, Visualization, and Sharing of Integrated Data Models. BMC Bioinformatics 19(1):80. [Full Text]
O'Sullivan A, Henrick B, Dixon B, Barile D, Zivkovic A, Smilowitz J, Lemay D, Martin W, German JB, Schaefer SE. 2018. 21st Century Toolkit for Optimizing Population Health Through Precision Nutrition. Crit Rev Food Sci Nutr 58(17):3004-3015. [Full Text]
Tan YM, Leonard JA, Edwards S, Teeguarden J, Paini A, Egeghy P. 2018. Aggregate Exposure Pathways in Support of Risk Assessment. Curr Opin Toxicol 9:44421. [Full Text]
Venkatratnam A, House JS, Konganti K, McKenney C, Threadgill DW, Chiu WA, Wright F, Rusyn, I. 2018. Population-Based Dose-Response Analysis of Liver Transcriptional Response to Trichloroethylene in Mouse. Mamm Genome 29(1-2):168- 181. [Full Text]

2017

Edmands WM, Petrick L, Barupal DK, Scalbert A, Wilson MJ, Wickliffe JK, Rappaport SM. 2017. compMS2Miner: An Automatable Metabolite Identification, Visualization, and Data-Sharing R Package for High-Resolution LC-MS Data Sets. Anal Chem 89(7):3919-3928. [Full Text]
House JS, Grimm FA, Jima DD, Zhou YH, Rusyn I, Wright FA. 2017. A Pipeline for High-Throughput Concentration Response Modeling of Gene Expression for Toxicogenomics. Front Genet 8:168. [Full Text]

2016

Ramirez-Andreotta MD, Brody JG, Lothrop N, Loh M, Beamer PI, Brown P. 2016. Improving Environmental Health Literacy and Justice through Environmental Exposure Results Communication. Int J Environ Res Public Health 13(7). [Full Text]
Rohlman D, Frey G, Kile ML, Harper B, Harris S, Motorykin O, Simonich SLM, Harding AK. 2016. Communicating Results of a Dietary Exposure Study Following Consumption of Traditionally Smoked Salmon. Environ Justice 9(3):85-92. [Full Text]
Rosenthal LS, Drake D, Alcalay RN, Babcock D, Bowman FD, Chen-Plotkin A, Dawson TM, Dewey RB, Jr., German DC, Huang X, Landin B, Mcauliffe M, Petyuk VA, Scherzer CR, Hillaire-Clarke CS, Sieber BA, Sutherl, M, Tarn C, West A, Vaillancourt D, Zhang J, Gwinn K, Consortium PDBP. 2016. The NINDS Parkinson's Disease Biomarkers Program. Mov Disord 31(6):915-23. [Full Text]
Mcintosh S, Pérez-Ramos J, Demment MM, Vélez Vega C, Avendaño E, Ossip DJ, Dye TD. 2016. Development and Implementation of Culturally Tailored Offline Mobile Health Surveys. JMIR Public Health Surveill 2(1):e28. [Full Text]

2015

Li X, Yu L, Kaeli D, Yao Y, Wang P, Giese R, Alshawabkeh A. 2015. Big Data Analysis on Puerto Rico Testsite for Exploring Contamination Threats. Alldata 2015:29-34. [Full Text]
Linkov I, Massey O, Keisler J, Rusyn I, Hartung T. 2015. From “Weight of Evidence” to Quantitative Data Integration Using Multicriteria Decision Analysis and Bayesian Methods. ALTEX 32(1):44263. [Full Text]

2014

Lewis RC, Cantonwine DE, Anzalota Del Toro LV, Calafat AM, Valentin-Blasini L, Davis MD, Baker SE, Alshawabkeh AN, Cordero JF, Meeker JD. 2014. Urinary Biomarkers of Exposure to Insecticides, Herbicides, and One Insect Repellent Among Pregnant Women in Puerto Rico. Environ Health 13:97. [Full Text]
Park SK, Tao Y, Meeker JD, Harlow SD, Mukherjee B. 2014. Environmental Risk Score as a New Tool To Examine Multi-Pollutants in Epidemiologic Research: An Example From the NHANES Study Using Serum Lipid Levels. PLoS One 9(6):e98632. [Full Text]

2012

Harding A, Harper B, Stone D, O'neill C, Berger P, Harris S, Donatuto J. 2012. Conducting Research With Tribal Communities: Sovereignty, Ethics, and Data-Sharing Issues. Environ Health Perspect 120(1):44357. [Full Text]
Hobbie KA, Peterson ES, Barton ML, Waters KM, Anderson KA. 2012. Integration of Data Systems and Technology Improves Research and Collaboration for a Superfund Research Center. J Lab Autom 17(4):275-83. [Full Text]
Slusky DA, Metayer C, Aldrich MC, Ward MH, Lea CS, Selvin S, Buffler PA. 2012. Reliability of Maternal-Reports Regarding the Use of Household Pesticides: Experience From a Case-Control Study of Childhood Leukemia. Cancer Epidemiol 36(4):375-80. [Full Text]
Tilton SC, Tal TL, Scroggins SM, Franzosa JA, Peterson ES, Tanguay RL, Waters KM. 2012. Bioinformatics Resource Manager v2.3: An Integrated Software Environment for Systems Biology With microRNA and Cross-Species Analysis Tools. BMC Bioinformatics 13:311. [Full Text]

2010

2009

Money ES, Carter GP, Serre ML. 2009. Modern Space/Time Geostatistics Using River Distances: Data Integration of Turbidity and E. coli Measurements To Assess Fecal Contamination Along the Raritan River in New Jersey. Environ Sci Technol 43(10):3736-42. [Full Text]
Zhu H, Martin TM, Ye L, Sedykh A, Young DM, Tropsha A. 2009. Quantitative Structure-Activity Relationship Modeling of Rat Acute Toxicity by Oral Exposure. Chem Res Toxicol 22(12):1913-21. [Full Text]

2006

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