Microarray Data Analysis: The Seven Keys provide biomedical researchers new to microarrays with guidelines to get past the new bottleneck of microarray research, data analysis. As array technology has become more powerful and less expensive, the amount of information produced by array experiments increased drastically as well, providing researchers with a significant challenge. The Seven Keys help researchers overcome this challenge and make successful array research even more accessible to biomedical researchers around the world.
 
Experiment Design
Type of Experiment
Two groups
Time series
Multiple conditions

Replicates
The more the better
Technical vs biological

Platform Selection
Microarray Platforms
cDNA
Oligo
One color
Two color

Feature Extraction
Software
File formats

Data Management
Databases

Raw Data
Storing
Retrieving

Experiment Annotation
Samples
Protocols

System Access
Usability
Intuitive
Special training

System Access
Single user desktop
Single user server
Web-based

Sharing data
In the lab
Collaboration

Differential Expression
Normalization

Statistical Significance
Fold change analysis
Comparison statistics

Correction for Multiple Testing
FWER
FDR

Cluster Analysis
Visualization
Partitioning

Biological Significance
Gene Annotation
UniGene
LocusLink
Gene Ontology
KEGG
OMIM

Single Genes
Gene Summaries

Gene Lists
Gene Summaries
File formats

Data Publication
MIAME

Public databases
Worldwide depositories
Institutional databases
User-hosted sites

Using Public Data
Getting microarray data
Posting microarray data