Mathé E - Search Results

1

Network analyses in microbiome based on high-throughput multi-omics data.

Liu Z, Ma A, Mathé E, Merling M, Ma Q, Liu B. Liu Z, et al. Among authors: mathe e. Brief Bioinform. 2021 Mar 22;22(2):1639-1655. doi: 10.1093/bib/bbaa005. Brief Bioinform. 2021. PMID: 32047891 Free PMC article. Review.

2

MYC-driven accumulation of 2-hydroxyglutarate is associated with breast cancer prognosis.

Terunuma A, Putluri N, Mishra P, Mathé EA, Dorsey TH, Yi M, Wallace TA, Issaq HJ, Zhou M, Killian JK, Stevenson HS, Karoly ED, Chan K, Samanta S, Prieto D, Hsu TY, Kurley SJ, Putluri V, Sonavane R, Edelman DC, Wulff J, Starks AM, Yang Y, Kittles RA, Yfantis HG, Lee DH, Ioffe OB, Schiff R, Stephens RM, Meltzer PS, Veenstra TD, Westbrook TF, Sreekumar A, Ambs S. Terunuma A, et al. J Clin Invest. 2014 Jan;124(1):398-412. doi: 10.1172/JCI71180. Epub 2013 Dec 9. J Clin Invest. 2014. PMID: 24316975 Free PMC article.

3

DEIA is essential to advance the goals of translational science: Perspectives from NCATS.

Hussain SF, Vogel AL, Faupel-Badger JM, Ho L, Akacem LD, Balakrishnan K, Geiger R, Gopal-Srivastava R, Haynes B, Hodges MG, Isler T, Mathé EA, Misquitta L, Sharma KR, Sid E, Zigterman JL, Burgoon PW. Hussain SF, et al. Among authors: mathe ea. J Clin Transl Sci. 2022 Nov 9;7(1):e33. doi: 10.1017/cts.2022.482. eCollection 2023. J Clin Transl Sci. 2022. PMID: 36845315 Free PMC article.

4

IntLIM: integration using linear models of metabolomics and gene expression data.

Siddiqui JK, Baskin E, Liu M, Cantemir-Stone CZ, Zhang B, Bonneville R, McElroy JP, Coombes KR, Mathé EA. Siddiqui JK, et al. Among authors: mathe ea. BMC Bioinformatics. 2018 Mar 5;19(1):81. doi: 10.1186/s12859-018-2085-6. BMC Bioinformatics. 2018. PMID: 29506475 Free PMC article.

5

The Omics Revolution Continues: The Maturation of High-Throughput Biological Data Sources.

Mathé E, Hays JL, Stover DG, Chen JL. Mathé E, et al. Yearb Med Inform. 2018 Aug;27(1):211-222. doi: 10.1055/s-0038-1667085. Epub 2018 Aug 29. Yearb Med Inform. 2018. PMID: 30157526 Free PMC article. Review.

6

Elucidation of Biological Networks across Complex Diseases Using Single-Cell Omics.

Li Y, Ma A, Mathé EA, Li L, Liu B, Ma Q. Li Y, et al. Trends Genet. 2020 Dec;36(12):951-966. doi: 10.1016/j.tig.2020.08.004. Epub 2020 Aug 29. Trends Genet. 2020. PMID: 32868128 Free PMC article. Review.

7

Integration of Metabolomics and Transcriptomics to Identify Gene-Metabolite Relationships Specific to Phenotype.

Patt A, Siddiqui J, Zhang B, Mathé E. Patt A, et al. Among authors: mathe e. Methods Mol Biol. 2019;1928:441-468. doi: 10.1007/978-1-4939-9027-6_23. Methods Mol Biol. 2019. PMID: 30725469

8

Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective.

Chu SH, Huang M, Kelly RS, Benedetti E, Siddiqui JK, Zeleznik OA, Pereira A, Herrington D, Wheelock CE, Krumsiek J, McGeachie M, Moore SC, Kraft P, Mathé E, Lasky-Su J; Consortium of Metabolomics Studies Statistics Working Group. Chu SH, et al. Among authors: mathe e. Metabolites. 2019 Jun 18;9(6):117. doi: 10.3390/metabo9060117. Metabolites. 2019. PMID: 31216675 Free PMC article. Review.

9

Challenges in proteogenomics: a comparison of analysis methods with the case study of the DREAM proteogenomics sub-challenge.

Eicher T, Patt A, Kautto E, Machiraju R, Mathé E, Zhang Y. Eicher T, et al. Among authors: mathe e. BMC Bioinformatics. 2019 Dec 20;20(Suppl 24):669. doi: 10.1186/s12859-019-3253-z. BMC Bioinformatics. 2019. PMID: 31861998 Free PMC article.

10

Correction to: The International Conference on Intelligent Biology and Medicine (ICIBM) 2019: bioinformatics methods and applications for human diseases.

Zhao Z, Dai Y, Zhang C, Mathé E, Wei L, Wang K. Zhao Z, et al. Among authors: mathe e. BMC Bioinformatics. 2020 Apr 16;21(1):148. doi: 10.1186/s12859-020-3487-9. BMC Bioinformatics. 2020. PMID: 32299341 Free PMC article.

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