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Ewy A. Mathe, Ph.D. - Publications

Affiliations: 
2005 George Mason University, Washington, DC 
Area:
Molecular Biology, Genetics, Computer Science, Biostatistics Biology
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20 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Zhang C, Mathé E, Ning X, Zhao Z, Wang K, Li L, Guo Y. The International Conference on Intelligent Biology and Medicine 2019 (ICIBM 2019): computational methods and applications in medical genomics. Bmc Medical Genomics. 13: 47. PMID 32241271 DOI: 10.1186/S12920-020-0678-1  0.316
2019 Eicher T, Patt A, Kautto E, Machiraju R, Mathé E, Zhang Y. Challenges in proteogenomics: a comparison of analysis methods with the case study of the DREAM proteogenomics sub-challenge. Bmc Bioinformatics. 20: 669. PMID 31861998 DOI: 10.1186/S12859-019-3253-Z  0.347
2019 Playdon MC, Joshi AD, Tabung FK, Cheng S, Henglin M, Kim A, Lin T, van Roekel EH, Huang J, Krumsiek J, Wang Y, Mathé E, Temprosa M, Moore S, Chawes B, et al. Metabolomics Analytics Workflow for Epidemiological Research: Perspectives from the Consortium of Metabolomics Studies (COMETS). Metabolites. 9. PMID 31319517 DOI: 10.3390/Metabo9070145  0.31
2019 Yu B, Zanetti KA, Temprosa M, Albanes D, Appel N, Barrera CB, Ben-Shlomo Y, Boerwinkle E, Casas JP, Clish C, Dale C, Dehghan A, Derkach A, Eliassen AH, Elliott P, et al. The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies. American Journal of Epidemiology. 188: 991-1012. PMID 31155658 DOI: 10.1093/Aje/Kwz028  0.307
2019 Patt A, Siddiqui J, Zhang B, Mathé E. Integration of Metabolomics and Transcriptomics to Identify Gene-Metabolite Relationships Specific to Phenotype. Methods in Molecular Biology (Clifton, N.J.). 1928: 441-468. PMID 30725469 DOI: 10.1007/978-1-4939-9027-6_23  0.333
2018 Siddiqui JK, Baskin E, Liu M, Cantemir-Stone CZ, Zhang B, Bonneville R, McElroy JP, Coombes KR, Mathé EA. IntLIM: integration using linear models of metabolomics and gene expression data. Bmc Bioinformatics. 19: 81. PMID 29506475 DOI: 10.1186/S12859-018-2085-6  0.352
2018 Zhang B, Hu S, Baskin E, Patt A, Siddiqui JK, Mathé EA. RaMP: A Comprehensive Relational Database of Metabolomics Pathways for Pathway Enrichment Analysis of Genes and Metabolites. Metabolites. 8. PMID 29470400 DOI: 10.3390/Metabo8010016  0.347
2018 Ozer HG, El-Gamal D, Powell B, Hing ZA, Blachly JS, Harrington B, Mitchell S, Grieselhuber NR, Williams K, Lai TH, Alinari L, Baiocchi RA, Brinton L, Baskin E, Cannon M, et al. BRD4 profiling identifies critical Chronic Lymphocytic Leukemia oncogenic circuits and reveals sensitivity to PLX51107, a novel structurally distinct BET inhibitor. Cancer Discovery. PMID 29386193 DOI: 10.1158/2159-8290.Cd-17-0902  0.326
2018 Weng DY, Song M, Brasky TM, McElroy JP, Mathe E, Freudenheim JL, Wewers MD, Shields PG. Abstract 3233: The effects of electronic cigarette exposure on genome-wide expression in human bronchial epithelium Epidemiology. 78: 3233-3233. DOI: 10.1158/1538-7445.Am2018-3233  0.308
2018 Ying KL, Song M, Weng DY, Nickerson QA, McElroy JP, Frankhouser D, Yan PS, Bundschuh R, Brasky TM, Wewers MD, Mathé E, Freudenheim JL, Shields PG. Abstract 1231: Using oral and lung microbiome to assess microbial dysbiosis and inflammatory response to electronic cigarettes and to cigarettes Cancer Research. 78: 1231-1231. DOI: 10.1158/1538-7445.Am2018-1231  0.313
2017 Haznadar M, Mathé EA. Experimental and Study Design Considerations for Uncovering Oncometabolites. Methods in Molecular Biology (Clifton, N.J.). 1513: 37-47. PMID 27807829 DOI: 10.1007/978-1-4939-6539-7_4  0.302
2017 Ying K, Song M, Weng DY, Nickerson Q, Frankhouser D, Yan PS, Bundschuh R, Wewers MD, Mathé E, Freudenheim JL, Shields PG. Abstract 246: Assessing microbial dysbiosis of electronic cigarettes and cigarette smokers using oral and lung microbiome Cancer Research. 77: 246-246. DOI: 10.1158/1538-7445.Am2017-246  0.308
2014 Mathé EA, Patterson AD, Haznadar M, Manna SK, Krausz KW, Bowman ED, Shields PG, Idle JR, Smith PB, Anami K, Kazandjian DG, Hatzakis E, Gonzalez FJ, Harris CC. Noninvasive urinary metabolomic profiling identifies diagnostic and prognostic markers in lung cancer Cancer Research. 74: 3259-3270. PMID 24736543 DOI: 10.1158/0008-5472.Can-14-0109  0.316
2013 Haznadar M, Mathe E, Patterson AD, Manna SK, Krausz KW, Bowman ED, Idle JR, Kazandjian DG, Gonzalez FJ, Harris CC. Abstract 1901: Untargeted metabolomic profiling identifies diagnostic and prognostic biomarkers of lung cancer. Cancer Research. 73: 1901-1901. DOI: 10.1158/1538-7445.Am2013-1901  0.33
2011 Robles AI, Mathé E, Bowman ED, Ryan BM, Haznadar M, Harris CC. Abstract A4: Integrative genomic analysis of lung cancer: Focus on health disparities Cancer Epidemiology, Biomarkers & Prevention. 20. DOI: 10.1158/1055-9965.Disp-11-A4  0.311
2009 Masso M, Mathe E, Parvez N, Hijazi K, Vaisman II. Modeling the functional consequences of single residue replacements in bacteriophage f1 gene V protein. Protein Engineering, Design & Selection : Peds. 22: 665-71. PMID 19690089 DOI: 10.1093/Protein/Gzp050  0.662
2008 Masso M, Mathe E, Parvez N, Hijazi K, Vaisman II. Structure based functional analysis of bacteriophage f1 gene v protein Proceedings - Ieee International Conference On Bioinformatics and Biomedicine, Bibm 2008. 402-406. DOI: 10.1109/BIBM.2008.14  0.659
2007 Petitjean A, Mathe E, Kato S, Ishioka C, Tavtigian SV, Hainaut P, Olivier M. Impact of mutant p53 functional properties on TP53 mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 database. Human Mutation. 28: 622-9. PMID 17311302 DOI: 10.1002/Humu.20495  0.342
2006 Mathe E, Olivier M, Kato S, Ishioka C, Hainaut P, Tavtigian SV. Computational approaches for predicting the biological effect of p53 missense mutations: a comparison of three sequence analysis based methods. Nucleic Acids Research. 34: 1317-25. PMID 16522644 DOI: 10.1093/Nar/Gkj518  0.378
2006 Mathe E, Olivier M, Kato S, Ishioka C, Vaisman I, Hainaut P. Predicting the transactivation activity of p53 missense mutants using a four-body potential score derived from Delaunay tessellations. Human Mutation. 27: 163-72. PMID 16395672 DOI: 10.1002/Humu.20284  0.581
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