A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis
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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
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Proceedings 2017 IEEE International Conference on Bioinformatics and Biomedicine Bibm 2017
DOI
Publication Date
December 15, 2017
Volume
2017-January
Start / End Page
2221 / 2223
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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
Publication Date
December 15, 2017
Volume
2017-January
Start / End Page
2221 / 2223