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Pca column software
Pca column software








pca column software

If your input data are log-transformed, then You can normalize data yourself before uploading it or you can use a normalization If you do not use split-normalization, then your data starts from the second column. If you use split-normalization, then the second column shouldīe indexes (numerical) of arrays or portions of arrays to be normalized separately in this case The first column has gene IDs which can be numerical or textual. The first row consists of column headers. You can assemble it in Excel and then saveĪs a tab-delimited text file.

  • Gene list analysis (GO, domains, location).
  • Arrayjoin tool for compiling multiple files.
  • Installation instructions are available in the readme.txtĬomponents of the NIA Array Analysis tool

    #Pca column software software#

    The NIA Array Analysis software on your own server (Windows, Unix, or Linux).

    pca column software

    Plan an extensive use of it (in terms of disk space and computation time) You are welcome to use our server to analyze your data.

  • Server-based software (speed does not depend on the power of your computer).
  • High-quality interactive 3-D graphics based on public-domain VRML viewers.
  • Singular value decomposition ( PCA-biplot) for visualization of linkages between genes and tissues.
  • Direct use of False Discovery Rates (FDR) for evaluation of significance.
  • A set of error models for reducing the proportion of false positives.
  • What are advantages of the NIA Array Analysis tool?

    pca column software

  • Save results of analysis for personal or public access.
  • Import principal components from an earlier analysis to overlay 2 sets of results.
  • Plot the dendrogram for replications to check abnormal arrays.
  • Find genes whose expression matches a given pattern ( pattern matching).
  • Cluster genes according to their contribution to principal components.
  • Find major patterns of variability in gene expression using Principal Component Analysis (PCA) and biplot.
  • Find clusters of tissues with similar expression patterns and identify specific genes for each cluster.
  • Evaluate the statistical significance of differential.
  • General Description of NIA Array Analysis tool Terms of use What can you do with the NIA Array Analysis tool?










    Pca column software