Subject: | Gene Expression |
Presenter: | Baharak Rastegari |
Paper: | " Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression" |
  | by Golub T.R., et. al. |
Abstract |
Molecular Classification of Cancer: Class Discovery and Class Prediction
by Gene Expression
Although cancer classification has improved over the past 30 years, there
has been no general approach for identifying new cancer classes (class
discovery) or for assigning tumors to known classes (class prediction).
Here, a generic approach to cancer classification based on gene expression
monitoring by DNA microarrays is described and applied to human acute
leukemias as a test case. A class discovery procedure automatically
discovered the distinction between acute myeloid leukemia (AML) and acute
lymphoblastic leukemia (ALL) without previous knowledge of these classes. An
automatically derived class predictor was able to determine the class of new
leukemia cases. The results demonstrate the feasibility of cancer
classification based solely on gene expression monitoring and suggest a
general strategy for discovering and predicting cancer classes for other
types of cancer, independent of previous biological knowledge.
Reference: Golub T.R., et. al., Molecular Classification of Cancer: Class Discovery
and Class Prediction by Gene Expression. Science. 1999; 286(5439), 531-7.
The paper is available at http://linkage.rockefeller.edu/wli/microarray/golub99.pdf
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