GolubTrain


  Samples were taken with Affymetrix Hgu6800 chips and expression levels measured on 7,129
  genes (probes).  The samples consist of 27 acute lymphoblastic leukemia (ALL) and 11 acute
  myeloid luekemia (AML) patients.  The data values are raw (e.g. no standardization or
  gene filtering applied).


datasets

Computes Mantel cluster correlations from a (p x n)
numeric data matrix (e.g. microarray gene-expression data).

Brian Steinmeyer

MantelCorr

Compute Mantel Cluster Correlations

GolubTrain function

A data frame of 7129 observations (genes) with the following 38 variables (samples):
  <dl>
    <dt>X1</dt><dd>ALL</dd> <dt>X2</dt><dd>ALL</dd> <dt>X3</dt><dd>ALL</dd> <dt>X4</dt><dd>ALL</dd> <dt>X5</dt><dd>ALL</dd> <dt>X6</dt><dd>ALL</dd> <dt>X7</dt><dd>ALL</dd> <dt>X8</dt><dd>ALL</dd> <dt>X9</dt><dd>ALL</dd> <dt>X10</dt><dd>ALL</dd> <dt>X11</dt><dd>ALL</dd> <dt>X12</dt><dd>ALL</dd> <dt>X13</dt><dd>ALL</dd> <dt>X14</dt><dd>ALL</dd> <dt>X15</dt><dd>ALL</dd> <dt>X16</dt><dd>ALL</dd> <dt>X17</dt><dd>ALL</dd> <dt>X18</dt><dd>ALL</dd> <dt>X19</dt><dd>ALL</dd> <dt>X20</dt><dd>ALL</dd> <dt>X21</dt><dd>ALL</dd> <dt>X22</dt><dd>ALL</dd> <dt>X23</dt><dd>ALL</dd> <dt>X24</dt><dd>ALL</dd> <dt>X25</dt><dd>ALL</dd> <dt>X26</dt><dd>ALL</dd> <dt>X27</dt><dd>ALL</dd> <dt>X28</dt><dd>AML</dd> <dt>X29</dt><dd>AML</dd> <dt>X30</dt><dd>AML</dd> <dt>X31</dt><dd>AML</dd> <dt>X32</dt><dd>AML</dd> <dt>X33</dt><dd>AML</dd> <dt>X34</dt><dd>AML</dd> <dt>X35</dt><dd>AML</dd> <dt>X36</dt><dd>AML</dd> <dt>X37</dt><dd>AML</dd> <dt>X38</dt><dd>AML</dd> </dl> 

Format

http://www.broad.mit.edu/cgi-bin/cancer/datasets.cgi

Source

Samples were taken with Affymetrix Hgu6800 chips and expression levels measured on 7,129
  genes (probes).  The samples consist of 27 acute lymphoblastic leukemia (ALL) and 11 acute
  myeloid luekemia (AML) patients.  The data values are raw (e.g. no standardization or
  gene filtering applied).

GolubTrain: Golub Training Set

Description

Usage

Arguments

Format

Source

References

Examples