Leukemia gene expression dataset from Golub et al. (1999)
Leukemia dataset (learning set) contains gene expression levels (3051 genes and 38 patient samples) from Golub et al. (1999). This dataset has been pre-processed: capping into floor of 100 and ceiling of 16000; filtering by exclusion of genes with max/min<=5 or max-min<=500, where max and min refer respectively to the maximum and minimum intensities for a particular gene across mRNA samples; 2-base logarithmic transformation.
Golub: a gene expression matrix of 3051 genes x 38 samples. These samples include 11 acute myeloid leukemia (AML) and 27 acute lymphoblastic leukemia (ALL) which can be further subtyped into 19 B-cell ALL and 8 T-cell ALL.
Golub et al. (1999). Molecular classification of cancer: class
discovery and class prediction by gene expression monitoring,
Science, Vol. 286:531-537.