Group-Biomarkers Identification in Ovarian Carcinoma

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 i...

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Bibliographic Details
Published in2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 Vol. 1; pp. I-341 - I-344
Main Authors Tchagang, A.B., Tewfik, A.H., Skubitz, A.P.N., Skubitz, K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2007
Subjects
Biclustering
Biomarkers
Biomedical engineering
Cancer detection
Chemical analysis
Diseases
DNA microarray
Gene expression
Medical treatment
Neoplasms
ovarian cancer
Statistical analysis
Testing
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Summary: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 biomarkers as exhibited by receiver operating characteristics curves.
ISBN:9781424407279
1424407273
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2007.366686