Data Analysis Outline  (request form more explanations)

  .Quality control and validation of both raw data and scanned images

  .Basic statistics (t-test, Mann-Whitney test, SAM and matrix analysis)

  .Expression patterns via various clustering methods 

        .Hierarchical 

        .K-means/K-median/gene shaving/PCA/SOM

        .Correlation coefficient 

  .Functional pathways and annotations

  .Investigator-preferred analyses

  .New methods/algorisms from Biostatistics and and Biostatistics Unit