Computational analysis of microarray data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics (clinical),Genetics,Molecular Biology
Link
http://www.nature.com/articles/35076576.pdf
Reference31 articles.
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2. Lockhart, D. J. et al. Expression monitoring by hybridization to high-density oligonucleotide arrays. Nature Biotechnol. 14, 1675–1680 (1996).
3. Schena, M., Shalon, D., Davis, R. W. & Brown, P. O. Quantitative monitoring of gene expression patterns with complementary DNA microarray. Science 270, 467–470 (1995).
4. Schena, M. et al. Parallel human genome analysis: microarray-based expression monitoring of 1000 genes. Proc. Natl Acad. Sci. USA 93, 10614–10619 (1996).
5. Wen, X. et al. Large-scale temporal gene expression mapping of central nervous system development. Proc. Natl Acad. Sci. USA 95, 334–339 (1998).This is one of the first analyses of large-scale gene expression — in this case, RT–PCR data — using clustering and data-mining techniques. It elegantly shows how integrating the results derived using various distance metrics can reveal different but meaningful patterns in the data.
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