@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.N.} and Keith Skubitz",
year = "2007",
doi = "10.1109/ICASSP.2007.366686",
language = "English (US)",
isbn = "1424407281",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "I341--I344",
booktitle = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07",
note = "2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 ; Conference date: 15-04-2007 Through 20-04-2007",
}
