## Summary

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Tigr MultiExperiment Viewer is a freely available tool for analyzing nor=
malized microarray data. It can be used to perform statistical analysis, cl=
ustering, classification and visualization of the data.

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## Available on

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MeV can be downloaded at http://www.tm4.org/mev.html

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## User documentation

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To get started using MeV, download t=
he MeV quickstart manual.

A more detailed description of all functi=
onalities can be found at the MeV manual<=
br> Training slides provided by MeV can be found here

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## Loading data into MeV

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Data in the following formats can be loaded into MeV:

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- .mev files- MeV expression files
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- .tav files- TIGR Array Viewer format
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- TDMS files - Tab delimited file containaing spot annotation in the left=
hand columns and expression values for each sample as right hand columns. =
When loading, user needs to specify where the first expression column begin=
s.
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- .gpr file - GenePix file
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- Affymetrix file format
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After data is loaded into MeV, it can be adjusted by using the options u=
nder the *Adjust Data* Adjustments such as mean centering, median ce=
ntering and log transformations can be done. The data can also be filtered =
based on quality and variance.

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Remember that the expression image may look very different after a data =
adjustment such as log transformation is done. You may need to change the c=
olor scale limits (under *Display* menu) according to the limit=
s of your adjusted data to see an accurate expression image.

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## Statistical tests

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The following statistical tests can be performed on the data using MeV:<=
/p>=20

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- Anova
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- Two-factor Anova
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- T-test
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- Multiple testing corrections- Bonferroni, adjusted Bonferroni. Bonferro=
ni correction is a very stringent correction while adjusted Bonferrroni is =
a more lenient correction.
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