TY  - JOUR
A1  - Akilesh, Shreeram
A1  - Shaffer, Daniel J.
A1  - Roopenian, Derry
T1  - Customized Molecular Phenotyping by Quantitative Gene Expression and Pattern Recognition Analysis
Y1  - 2003/07/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 1719 
EP  - 1727 
DO  - 10.1101/gr.533003 
VL  - 13 
IS  - 7 
UR  - http://genome.cshlp.org/content/13/7/1719.abstract 
N2  - Description of the molecular phenotypes of pathobiological processes in
 vivo is a pressing need in genomic biology. We have implemented a
 high-throughput real-time PCR strategy to establish quantitative expression
 profiles of a customized set of target genes. It enables rapid, reproducible
 data acquisition from limited quantities of RNA, permitting serial sampling of
 mouse blood during disease progression. We developed an easy to use
 statistical algorithm—Global Pattern Recognition—to readily
 identify genes whose expression has changed significantly from healthy
 baseline profiles. This approach provides unique molecular signatures for
 rheumatoid arthritis, systemic lupus erythematosus, and graft versus host
 disease, and can also be applied to defining the molecular phenotype of a
 variety of other normal and pathological processes. 
ER  -