A novel approach to analyzing lung cancer mortality disparities: Using the exposome and a graph-theoretical toolchain

Paul D Juarez¹, Darryl B Hood Ph.D. ², Gary L Rogers³, Suzanne H Baktash⁴, Arnold M Saxton⁵, Patricia Matthews-Juarez¹, Wansoo Im¹, Myriam Patricia Cifuentes², Charles A Phillips⁶, Maureen Y Lichtveld⁷, Michael A Langston^4
1 Department of Family and Community Medicine, Meharry Medical College, Tennessee, USA
² Division of Environmental Health Sciences, College of Public Health, The Ohio State University, Ohio, USA
³ HPC Operations, National Institute for Computational Sciences, University of Tennessee, Tennessee, USA
⁴ Department of Electrical Engineering and Computer Science, University of Tennessee, Tennessee, USA
⁵ Department of Animal Science, Institute of Agriculture, University of Tennesse, Tennessee, USA
⁶ Department of Engineering and Computer Science, University of Tennessee, Tennessee, USA
⁷ Department of Global Environmental Health Sciences, School of Tropical Medicine, Tulane University, Louisiana, USA

Correspondence Address:
Darryl B Hood
Division of Environmental Health Sciences, College of Public Health, The Ohio State University, 408 Cunz Hall, Columbus, OH 43210
USA

Source of Support: None, Conflict of Interest: None

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DOI: 10.4103/ed.ed_8_17