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JNCI Journal of the National Cancer Institute 2005 97(16):1173-1175; doi:10.1093/jnci/dji268
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© 2005 Oxford University Press

NEWS

Efforts Aimed at Reducing Noise, Data Overload in Microarrays

Rabiya S. Tuma

The first 10% of the full text of this article appears below.

Microarrays have helped researchers identify previously unrecognized subtypes of cancers, and more recently they have been put to the test to determine their ability to identify cancers with better or worse prognosis (see News, Vol. 97, No. 5, p. 331, "Trial and Error: Prognostic Gene Signature Study Design Altered"). Now, researchers are working to find the best way to take the tool to a new level of complexity by asking it to help them identify genes involved in the basic biology of tumors.

Experts in the field expect that the approach will work—but caution that it won't be entirely straightforward. "For me, prediction is something we can often do without understanding the underlying biology, and that is much more difficult," said Jill Mesirov, Ph.D., director of computational biology and bioinformatics at the Broad Institute at . . . [Full Text of this Article]


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