Classification of myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) data set
 
Input data format

	INPUT PARAMETERS
	\s - space \t - tab ; - semicolon : - colon , - comma  * Data delimeter
	ANALYSIS PARAMETERS
	Number of genes for classification
	DATA
	Training Set  TrainingSet.data  TrainingSet.cls *Expression data   *Classification data Test Set  TestSet.data  TestSet.cls Expression data   Classification data
* - required field

On this page you can classify microarray data from Golub et al, 1999 available from MIT. Click the links to see examples of Expression and Classification data sets. The START button will begin real-time calculations on our server. The results will be available in about 30 seconds. The calculated results for this example are analyzed in Antonov et al, 2004.  

Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., Downing, J. R., Caligiuri, M. A., Bloomfield, C. D. & Lander, E. S. (1999). Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science, 286, 531-7.

Antonov, A. V., Tetko, I. V., Mader, M. T., Budczies, J. & Mewes, H. W. (2004). Optimization models for cancer classification: extracting gene interaction information from microarray expression data. Bioinformatics, 20, 644-52.

Antonov, A.V., Tetko, I.V, Prokopenko, V.V., Kosykh,D. & Mewes, H.W. Web Portal for Classification of Expression Data using Maximal Margin Linear Programming, Bioinformatics, 2004, 20, 3284-5.