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Methods of Microarray Data Analysis pp 9–20Cite as

Cancer: Clinical Challenges and Opportunities

Lung Cancer Gene Profiling

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Abstract:

Lung cancer is the leading cause of cancer death. Gene expression profiling of lung cancer may provide one method to increase our understanding of this very heterogeneous disease and potentially identify new approaches for early diagnosis, prognosis or treatment. This brief review examines some of the issues that are associated with the clinical presentation of this disease and some important questions that might be addressed using gene expression profiling experiments when applied to human lung cancer.

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Authors and Affiliations

  1. General Thoracic Surgery, University of Michigan, Ann Arbor, MI, 48109

    David G. Beer

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  1. David G. Beer
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Editors and Affiliations

  1. Duke Bioinformatics Shared Resource, Duke University Medical Center, Durham, NC, USA

    Jennifer S. Shoemaker  & Simon M. Lin  & 

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© 2005 Springer Science + Business Media, Inc. Boston

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Beer, D.G. (2005). Cancer: Clinical Challenges and Opportunities. In: Shoemaker, J.S., Lin, S.M. (eds) Methods of Microarray Data Analysis. Springer, Boston, MA. https://doi.org/10.1007/0-387-23077-7_2

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