A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis

Sadia Akter; Gil Wilshire; J. Wade Davis; John Bromfield; Sarah Crowder; Trupti Joshi; Katherine Pelch; Danny J. Schust; Angela Meng; Bret Barrier; Susan C. Nagel

doi:10.1109/BIBM.2017.8218003

A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis

Sadia Akter, Gil Wilshire, J. Wade Davis, John Bromfield, Sarah Crowder, Trupti Joshi, Katherine Pelch, Danny J. Schust, Angela Meng, Bret Barrier, Susan C. Nagel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Editors	Illhoi Yoo, Jane Huiru Zheng, Yang Gong, Xiaohua Tony Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Dmitry Korkin
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2221-2223
Number of pages	3
ISBN (Electronic)	9781509030491
DOIs	https://doi.org/10.1109/BIBM.2017.8218003
State	Published - 15 Dec 2017
Event	2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 - Kansas City, United States Duration: 13 Nov 2017 → 16 Nov 2017

Publication series

Name	Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Volume	2017-January

Conference

Conference	2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Country/Territory	United States
City	Kansas City
Period	13/11/17 → 16/11/17

Keywords

RNA-Seq
endometriosis
methylation
multi-omics

Access to Document

10.1109/BIBM.2017.8218003

Cite this

Akter, S., Wilshire, G., Davis, J. W., Bromfield, J., Crowder, S., Joshi, T., Pelch, K., Schust, D. J., Meng, A., Barrier, B., & Nagel, S. C. (2017). A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. In I. Yoo, J. H. Zheng, Y. Gong, X. T. Hu, C-R. Shyu, Y. Bromberg, J. Gao, & D. Korkin (Eds.), Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 (pp. 2221-2223). (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM.2017.8218003

Akter, Sadia ; Wilshire, Gil ; Davis, J. Wade ; Bromfield, John ; Crowder, Sarah ; Joshi, Trupti ; Pelch, Katherine ; Schust, Danny J. ; Meng, Angela ; Barrier, Bret ; Nagel, Susan C. / 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. editor / Illhoi Yoo ; Jane Huiru Zheng ; Yang Gong ; Xiaohua Tony Hu ; Chi-Ren Shyu ; Yana Bromberg ; Jean Gao ; Dmitry Korkin. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2221-2223 (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017).

@inproceedings{f8f890c84b66442ab2e7b6679671b8de,

title = "A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis",

abstract = "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.",

keywords = "RNA-Seq, endometriosis, methylation, multi-omics",

author = "Sadia Akter and Gil Wilshire and Davis, {J. Wade} and John Bromfield and Sarah Crowder and Trupti Joshi and Katherine Pelch and Schust, {Danny J.} and Angela Meng and Bret Barrier and Nagel, {Susan C.}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; null ; Conference date: 13-11-2017 Through 16-11-2017",

year = "2017",

month = dec,

day = "15",

doi = "10.1109/BIBM.2017.8218003",

language = "English",

series = "Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2221--2223",

editor = "Illhoi Yoo and Zheng, {Jane Huiru} and Yang Gong and Hu, {Xiaohua Tony} and Chi-Ren Shyu and Yana Bromberg and Jean Gao and Dmitry Korkin",

booktitle = "Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017",

}

Akter, S, Wilshire, G, Davis, JW, Bromfield, J, Crowder, S, Joshi, T, Pelch, K, Schust, DJ, Meng, A, Barrier, B & Nagel, SC 2017, A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. in I Yoo, JH Zheng, Y Gong, XT Hu, C-R Shyu, Y Bromberg, J Gao & D Korkin (eds), Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 2221-2223, 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, Kansas City, United States, 13/11/17. https://doi.org/10.1109/BIBM.2017.8218003

A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. / Akter, Sadia; Wilshire, Gil; Davis, J. Wade; Bromfield, John; Crowder, Sarah; Joshi, Trupti; Pelch, Katherine; Schust, Danny J.; Meng, Angela; Barrier, Bret; Nagel, Susan C.

Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. ed. / Illhoi Yoo; Jane Huiru Zheng; Yang Gong; Xiaohua Tony Hu; Chi-Ren Shyu; Yana Bromberg; Jean Gao; Dmitry Korkin. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2221-2223 (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis

AU - Akter, Sadia

AU - Wilshire, Gil

AU - Davis, J. Wade

AU - Bromfield, John

AU - Crowder, Sarah

AU - Joshi, Trupti

AU - Pelch, Katherine

AU - Schust, Danny J.

AU - Meng, Angela

AU - Barrier, Bret

AU - Nagel, Susan C.

PY - 2017/12/15

Y1 - 2017/12/15

N2 - 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.

AB - 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.

KW - RNA-Seq

KW - endometriosis

KW - methylation

KW - multi-omics

UR - http://www.scopus.com/inward/record.url?scp=85045967739&partnerID=8YFLogxK

U2 - 10.1109/BIBM.2017.8218003

DO - 10.1109/BIBM.2017.8218003

M3 - Conference contribution

AN - SCOPUS:85045967739

T3 - Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017

SP - 2221

EP - 2223

BT - Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017

A2 - Yoo, Illhoi

A2 - Zheng, Jane Huiru

A2 - Gong, Yang

A2 - Hu, Xiaohua Tony

A2 - Shyu, Chi-Ren

A2 - Bromberg, Yana

A2 - Gao, Jean

A2 - Korkin, Dmitry

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 13 November 2017 through 16 November 2017

ER -

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 Yoo I, Zheng JH, Gong Y, Hu XT, Shyu C-R, Bromberg Y, Gao J, Korkin D, editors, Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2221-2223. (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017). https://doi.org/10.1109/BIBM.2017.8218003

A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this