A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis
Publication
, Conference
Akter, S; Wilshire, G; Davis, JW; Bromfield, J; Crowder, S; Joshi, T; Pelch, K; Schust, DJ; Meng, A; Barrier, B; Nagel, SC
Published in: Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
December 15, 2017
Endometriosis is a complex gynecological disorder. The diagnostic process of endometriosis involves an invasive procedure thus delaying the diagnosis for about 10 years on average. Both DNA-methylation data and RNA-seq data has the potential to uncover molecular mechanisms of diseases. The objective of this project is to identify diagnostic molecular mechanisms of endometriosis using a multi-omics approach that will lead to noninvasive diagnostic procedure.
Duke Scholars
Published In
Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
DOI
ISBN
9781509030491
Publication Date
December 15, 2017
Volume
2017-January
Start / End Page
2221 / 2223
Citation
APA
Chicago
ICMJE
MLA
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Akter, S., Wilshire, G., Davis, J. W., Bromfield, J., Crowder, S., Joshi, T., … Nagel, S. C. (2017). A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. In Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 (Vol. 2017-January, pp. 2221–2223). https://doi.org/10.1109/BIBM.2017.8218003
Akter, S., G. Wilshire, J. W. Davis, J. Bromfield, S. Crowder, T. Joshi, K. Pelch, et al. “A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis.” In Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, 2017-January:2221–23, 2017. https://doi.org/10.1109/BIBM.2017.8218003.
Akter S, Wilshire G, Davis JW, Bromfield J, Crowder S, Joshi T, et al. A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. In: Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. 2017. p. 2221–3.
Akter, S., et al. “A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis.” Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, vol. 2017-January, 2017, pp. 2221–23. Scopus, doi:10.1109/BIBM.2017.8218003.
Akter S, Wilshire G, Davis JW, Bromfield J, Crowder S, Joshi T, Pelch K, Schust DJ, Meng A, Barrier B, Nagel SC. A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. 2017. p. 2221–2223.
Published In
Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
DOI
ISBN
9781509030491
Publication Date
December 15, 2017
Volume
2017-January
Start / End Page
2221 / 2223