golub

golub.cl

golub.gnames


  Gene expression data (500 genes and 38 tumor mRNA samples) 
  from the leukemia microarray study of Golub et al. 
  (1999). Original data set contain 3051 genes 

datasets

Non-parametric method for identifying differentially
expressed (up- or down- regulated) genes based on the
estimated percentage of false predictions (pfp). The method can
combine data sets from different origins (meta-analysis) to increase the power
of the identification.

Fangxin Hong

RankProd

Rank Product method for identifying differentially expressed
genes with application in meta-analysis

golub function

Golub et al. (1999). Molecular classification of cancer: class
discovery and class prediction by gene expression
monitoring, <em>Science</em>, Vol. 286:531-537.
<a href="http://www-genome.wi.mit.edu/MPR/">http://www-genome.wi.mit.edu/MPR/</a>
.

Source

Gene expression data (500 genes and 38 tumor mRNA samples) 
  from the leukemia microarray study of Golub et al. 
  (1999). Original data set contain 3051 genes

sub set of the Gene expression dataset from Golub et al. (1999)

matrix of gene expression levels for the 
       38 tumor mRNA samples, rows correspond to genes 
        (500 genes) and columns to mRNA samples.

numeric vector indicating the tumor 
       class, 27 acute lymphoblastic leukemia (ALL) cases 
     (code 0) and 11 acute myeloid leukemia (AML) cases (code 1).

a matrix containing the names of 
     the 500 genes for the expression matrix <code>golub</code>. 
     The three columns correspond to the gene <code>index</code>, 
     <code>ID</code>, and <code>Name</code>, respectively.

golub: sub set of the Gene expression dataset from Golub et al. (1999)

Description

Usage

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Value

Source

References