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Meaningful genes can be discovered through the followings:
 Analysis of the intensity quantity and gene image per spot through Axon¡¯s GenePix software
 Normalization process wherein systematic variations affecting gene expression are detected and
  removed
 Statistical techniques such as Fold change, Clustering, Classification, PCA, T-test,
  Permutation test, and ANOVA
Functional gene classification can also be confirmed through the GO (Gene Ontology) Pathway.
 
 


Analyzing the signal intensity of the spot using GenePix 5.1 software after image scanning using an Axon scanner
 
Removing the systematic variations affecting gene expression
Global normalization
Intensity normalization
print-tip normalization
Quantile normalization
Scale normalization
Multiple slide normalization
MA plot
Scatter plot
Normalization Density
 
Grouping according to gene expression
Analysis using various algorithms, filters,
and options
Hierarchical
K-means
SOM
 
Test process to find meaningful genes
Fold Change
Classification
T-test (F-test)
ANOVA
Multiple testing
FDR
Permutation test


SAM(Significance Analysis of Microarray)
 
 
Gene Bank Accession Number
Cluster ID (Unigene site¿Í hyperlink)
Title (Unigene site¿Í hyperlink )
Gene Ontology (Functional grouping)
 
Sends analysis results within 10 days of sample receipt
Data on sample quality check
Data description
Summary of analysis results
Normalized data
Scatter plot
Gene annotation information (periodical update)
Functional grouping (gene ontology)
Customized analysis upon the client¡¯s request