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2017 | OriginalPaper | Buchkapitel

Common Subcluster Mining to Explore Molecular Markers of Lung Cancer

verfasst von : Arnab Sadhu, Balaram Bhattacharyya

Erschienen in: Proceedings of the First International Conference on Intelligent Computing and Communication

Verlag: Springer Singapore

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Abstract

We present a methodology, common subcluster mining, to explore gene expression data for possible biomarkers of lung cancer. Subclusters refer to the peaks formed through superimposition of clusters obtained from expression data of normal samples. Application of the method on the corresponding data sets from diseased samples extracts the genes that undergo high fold changes. The potential candidate genes are examined on the datasets of Stage I through stage IV of the disease. Few genes emerge as indicative molecular markers of lung cancer.

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Titel: Common Subcluster Mining to Explore Molecular Markers of Lung Cancer
verfasst von: Arnab Sadhu
Balaram Bhattacharyya
Verlag: Springer Singapore
Buch: Proceedings of the First International Conference on Intelligent Computing and Communication
Print ISBN: 978-981-10-2034-6

Electronic ISBN: 978-981-10-2035-3

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-981-10-2035-3_6

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