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NIA Array Analysis 2.0

a tool for evaluate the statistical significance



NIA Array Analysis 2.0 facilities

Vendor`s Webhttp://www.grc.nia.nih.gov
National Institute on Aging webshot
OSWindows 2000, Windows XP
Limitationsnot specified
Actualizedmore than year ago

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NIA Array Analysis manufacturer description

   1. Evaluate the statistical significance of differential gene expression based on microarray data
   2. Make log-ratio plots and scatter-plots
   3. Find clusters of tissues with similar expression patterns and identify specific genes for each cluster
   4. Find major patterns of variability in gene expression using Principal Component Analysis (PCA) and biplot
   5. Cluster genes according to their contribution to principal components
   6. Find genes whose expression matches a given pattern (pattern matching)
   7. Plot the dendrogram for replications to check abnormal arrays
   8. Plot the error function (SD vs. expression level)
   9. Make a correlation matrix
  10. Normalize input data
  11. Import principal components from an earlier analysis to overlay 2 sets of results
  12. Save results of analysis for personal or public access
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Free download NIA Array Analysis 2.0
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NIA Array Analysis video tutorials

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NIA Array Analysis categories

microarray, SVD, clustering, PCA, FDR, pattern matching, biplot, ANOVA

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