This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
Repeat: a framework to assess empirical reproducibility in biomedical research
BMC Medical Research Methodology Open Access 18 September 2017
-
Predicting response to multidrug regimens in cancer patients using cell line experiments and regularised regression models
BMC Cancer Open Access 08 April 2015
-
Implementation of the CDC translational informatics platform - from genetic variants to the national Swedish Rheumatology Quality Register
Journal of Translational Medicine Open Access 02 April 2013
Access options
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Potti, A. et al. Nat. Med. 12, 1294–1300 (2006).
Chang, J.C. et al. Lancet 362, 362–369 (2003).
Holleman, A. et al. N. Engl. J. Med. 351, 533–542 (2004).
Leisch, F. & Rossini, A.J. Chance 16, 46–50 (2003).
Gentleman, R. Stat. Appl. Genet. Mol. Biol. 4, Article 2 (2005).
R Development Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, 2006).
Lamport, L. LaTeX: A Document Preparation System (Addison Wesley, Boston, 1994).
Author information
Authors and Affiliations
Supplementary information
Rights and permissions
About this article
Cite this article
Coombes, K., Wang, J. & Baggerly, K. Microarrays: retracing steps. Nat Med 13, 1276–1277 (2007). https://doi.org/10.1038/nm1107-1276b
Issue Date:
DOI: https://doi.org/10.1038/nm1107-1276b
This article is cited by
-
Repeat: a framework to assess empirical reproducibility in biomedical research
BMC Medical Research Methodology (2017)
-
Predicting response to multidrug regimens in cancer patients using cell line experiments and regularised regression models
BMC Cancer (2015)
-
Using drug response data to identify molecular effectors, and molecular “omic” data to identify candidate drugs in cancer
Human Genetics (2015)
-
Implementation of the CDC translational informatics platform - from genetic variants to the national Swedish Rheumatology Quality Register
Journal of Translational Medicine (2013)
-
Challenges translating breast cancer gene signatures into the clinic
Nature Reviews Clinical Oncology (2012)