Using biplots to interpret gene expression patterns in plants

@article{Chapman2002UsingBT,
  title={Using biplots to interpret gene expression patterns in plants},
  author={Scott Chapman and Peer Schenk and Kemal Kazan and John Manners},
  journal={Bioinformatics},
  year={2002},
  volume={18 1},
  pages={202-4}
}
Plant biologists in fields of ecology, evolution, genetics and breeding frequently use multivariate methods. This paper illustrates Principal Component Analysis (PCA) and Gabriel's biplot as applied to microarray expression data from plant pathology experiments. 

Citations

Publications citing this paper.
Showing 1-10 of 33 extracted citations

References

Publications referenced by this paper.
Showing 1-8 of 8 references

Coordinated plant defense responses in Arabidopsis revealed by microarray analysis.

Proceedings of the National Academy of Sciences of the United States of America • 2000

Gene expression profiling : monitoring transcription and translation products using DNA microarrays and proteomics

I. H. DeLacy
FEBS Lett . • 2000

Gene expression profiling: monitoring transcription and translation products using DNA microarrays

Celis
2000

Singular value decomposition for genome-wide expression data processing and modeling.

Proceedings of the National Academy of Sciences of the United States of America • 2000
View 1 Excerpt

Analysis of multi-environment trials— an historical perspective

DeLacy, I.H
In Cooper,M. and Hammer,G.L. (eds), Plant Adaptation and Crop Improvement. CABI, • 1996

Biplots in biomedical research.

Statistics in medicine • 1990
View 1 Excerpt

Similar Papers

Loading similar papers…