"I am facing a problem in microarray gene expression analysis. I have
uploaded a simple normalized text data file (i.e. of just 1.5Mb),
Here is the sample of my dataset used.

       Dis1    Dis2    Dis3    Dis4    Nor1    Nor2    Nor3
Gene1   0       0.087   0       0       0       0       0.157
Gene2   1.847   0.74    1.571   1.346   0.339   0.6     0.996
Gene3   0.041   0.161   1.338   0.293   0       0.553   0.122
Gene4   17.542  12.585  10.273  10.927  6.128   12.842  12.663
Gene5   0.332   0.038   0.347   0.091   0.064   0       0.233
Gene6   0.975   0.333   0.34    0.711   0.497   0.446   0.557


 as my data is already is normalized one thus straightaway I wish to simply
apply t-statistics, when i clicked on "T-statistics" section and in order to
find differentially expressed genes I have opted two classes in one dataset,
and set p value as 0.05 and for correction Benjamin-Hochberg.


But instead of displaying result it shows the following error.
R: Loading required package: tools
Welcome to Bioconductor
Vignettes contain introductory material. To view, type
'openVignette()' or start with 'help(Biobase)'. For details
on reading vignettes, see the openVignette help page.
Hmisc library by Frank E Harrell Jr
Type library(help='Hmisc'), ?Overview, or ?Hmisc.Overview')
to see overall documentation.
NOTE:Hmisc no longer redefines [.factor to drop unused levels when
subsetting. To get the old behavior of Hmisc type dropUnusedLevels().
Attaching package: 'Hmisc'
The following object(s) are masked from package:Biobase :
contents
Error in plot.window(xlim, ylim, log, asp, ...) :
need finite 'xlim' values


KINDLY HELP ME TO SOLVE THE ISSUE. I WILL BE VERY GREATFUL TO YOU
THANKYOU"

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