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May 27, 2008 to May 30, 2008
ISBN: 978-0-7695-3118-2
pp: 413-417
ABSTRACT
A new strategy is developed for a gene signature search proceeding from a biological basis in analyzing microarray databases. The procedure involves a combination of known and original methods for correlation, statistical, and network analysis. The application of the strategy to lung adenocarcinoma resulted in a 5-gene signature, which included four genes not associated earlier with lung adenocarcinoma. 93-96% accuracy of classification of cancer vs. normal was achieved. The final stage of our procedure included expanding of the gene signature network to a 43 gene/protein network, which showed that the five genes are in the cross-talk of 24 pathways, providing thus information for mechanistic analysis.
INDEX TERMS
Networking, Gene Expression, Lung Cancer, Early Detection
CITATION
Vladimir Kuznetsov, Sterling Thomas, Danail Bonchev, "Data-driven Networking Reveals 5-Genes Signature for Early Detection of Lung Cancer", BMEI, 2008, BioMedical Engineering and Informatics, International Conference on, BioMedical Engineering and Informatics, International Conference on 2008, pp. 413-417, doi:10.1109/BMEI.2008.258
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