Group-biomarkers identification in ovarian carcinoma

Alain B. Tchagang, Ahmed H. Tewfik, Amy P Skubitz, Keith M Skubitz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

In this paper, we propose group-biomarkers as an alternative to the traditional single biomarkers used to date for the detection of ovarian cancer. Group-biomarkers are a set of genes that are used simultaneously for the diagnosis of early-stage and/or recurrent cancer, We describe a procedure for identifying such group-biomarkers from a data set of gene expression levels corresponding to normal and diseased ovarian tissue as well as tissue from other organs. The procedure starts with a list of potential single biomarkers. It then uses an order preserving biclustering step to identify other genes that are co-regulated with the candidate single, biomarkers across the normal and diseased ovarian tissue and, tissue from other organ. We present a statistical analysis that demonstrates that group-biomarkers have a much better detection performance than single hiomarkers as exhibited by receiver operating characteristics curves.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Volume1
DOIs
StatePublished - Aug 6 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
CountryUnited States
CityHonolulu, HI
Period4/15/074/20/07

Fingerprint

Biomarkers
Tissue
Genes
Gene expression
Statistical methods

Keywords

  • Biclustering
  • Biomarkers
  • DNA microarray
  • Ovarian cancer

Cite this

Tchagang, A. B., Tewfik, A. H., Skubitz, A. P., & Skubitz, K. M. (2007). Group-biomarkers identification in ovarian carcinoma. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 (Vol. 1). [4217086] https://doi.org/10.1109/ICASSP.2007.366686

Group-biomarkers identification in ovarian carcinoma. / Tchagang, Alain B.; Tewfik, Ahmed H.; Skubitz, Amy P; Skubitz, Keith M.

2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. Vol. 1 2007. 4217086.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tchagang, AB, Tewfik, AH, Skubitz, AP & Skubitz, KM 2007, Group-biomarkers identification in ovarian carcinoma. in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. vol. 1, 4217086, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, Honolulu, HI, United States, 4/15/07. https://doi.org/10.1109/ICASSP.2007.366686
Tchagang AB, Tewfik AH, Skubitz AP, Skubitz KM. Group-biomarkers identification in ovarian carcinoma. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. Vol. 1. 2007. 4217086 https://doi.org/10.1109/ICASSP.2007.366686
Tchagang, Alain B. ; Tewfik, Ahmed H. ; Skubitz, Amy P ; Skubitz, Keith M. / Group-biomarkers identification in ovarian carcinoma. 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. Vol. 1 2007.
@inproceedings{8a14e7f1985040d981b04a621808d7e3,
title = "Group-biomarkers identification in ovarian carcinoma",
abstract = "In this paper, we propose group-biomarkers as an alternative to the traditional single biomarkers used to date for the detection of ovarian cancer. Group-biomarkers are a set of genes that are used simultaneously for the diagnosis of early-stage and/or recurrent cancer, We describe a procedure for identifying such group-biomarkers from a data set of gene expression levels corresponding to normal and diseased ovarian tissue as well as tissue from other organs. The procedure starts with a list of potential single biomarkers. It then uses an order preserving biclustering step to identify other genes that are co-regulated with the candidate single, biomarkers across the normal and diseased ovarian tissue and, tissue from other organ. We present a statistical analysis that demonstrates that group-biomarkers have a much better detection performance than single hiomarkers as exhibited by receiver operating characteristics curves.",
keywords = "Biclustering, Biomarkers, DNA microarray, Ovarian cancer",
author = "Tchagang, {Alain B.} and Tewfik, {Ahmed H.} and Skubitz, {Amy P} and Skubitz, {Keith M}",
year = "2007",
month = "8",
day = "6",
doi = "10.1109/ICASSP.2007.366686",
language = "English (US)",
isbn = "1424407281",
volume = "1",
booktitle = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07",

}

TY - GEN

T1 - Group-biomarkers identification in ovarian carcinoma

AU - Tchagang, Alain B.

AU - Tewfik, Ahmed H.

AU - Skubitz, Amy P

AU - Skubitz, Keith M

PY - 2007/8/6

Y1 - 2007/8/6

N2 - In this paper, we propose group-biomarkers as an alternative to the traditional single biomarkers used to date for the detection of ovarian cancer. Group-biomarkers are a set of genes that are used simultaneously for the diagnosis of early-stage and/or recurrent cancer, We describe a procedure for identifying such group-biomarkers from a data set of gene expression levels corresponding to normal and diseased ovarian tissue as well as tissue from other organs. The procedure starts with a list of potential single biomarkers. It then uses an order preserving biclustering step to identify other genes that are co-regulated with the candidate single, biomarkers across the normal and diseased ovarian tissue and, tissue from other organ. We present a statistical analysis that demonstrates that group-biomarkers have a much better detection performance than single hiomarkers as exhibited by receiver operating characteristics curves.

AB - In this paper, we propose group-biomarkers as an alternative to the traditional single biomarkers used to date for the detection of ovarian cancer. Group-biomarkers are a set of genes that are used simultaneously for the diagnosis of early-stage and/or recurrent cancer, We describe a procedure for identifying such group-biomarkers from a data set of gene expression levels corresponding to normal and diseased ovarian tissue as well as tissue from other organs. The procedure starts with a list of potential single biomarkers. It then uses an order preserving biclustering step to identify other genes that are co-regulated with the candidate single, biomarkers across the normal and diseased ovarian tissue and, tissue from other organ. We present a statistical analysis that demonstrates that group-biomarkers have a much better detection performance than single hiomarkers as exhibited by receiver operating characteristics curves.

KW - Biclustering

KW - Biomarkers

KW - DNA microarray

KW - Ovarian cancer

UR - http://www.scopus.com/inward/record.url?scp=34547527645&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34547527645&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2007.366686

DO - 10.1109/ICASSP.2007.366686

M3 - Conference contribution

SN - 1424407281

SN - 9781424407286

VL - 1

BT - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07

ER -