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May 27, 2008 to May 30, 2008
ISBN: 978-0-7695-3118-2
pp: 413-417
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.
Networking, Gene Expression, Lung Cancer, Early Detection
Vladimir Kuznetsov, Sterling Thomas, Danail Bonchev, "Data-driven Networking Reveals 5-Genes Signature for Early Detection of Lung Cancer", BMEI, 2008, 2008 International Conference on Biomedical Engineering and Informatics (BMEI 2008), 2008 International Conference on Biomedical Engineering and Informatics (BMEI 2008) 2008, pp. 413-417, doi:10.1109/BMEI.2008.258
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