Microarrays and transcriptome analysis in renal transplantation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nephrology,General Medicine
Link
http://www.nature.com/articles/ncpneph0066.pdf
Reference11 articles.
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2. Furness PN et al. (2003) International variation in histologic grading is large, and persistent feedback does not improve reproducibility. Am J Surg Pathol 27: 805–810
3. Somorjai RL et al. (2003) Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions. Bioinformatics 19: 1484–1491
4. Michiels S et al. (2005) Prediction of cancer outcome with microarrays: a multiple random validation strategy. Lancet 365: 488–492
5. Einecke G et al. (2005) Expression of CTL associated transcripts precedes the development of tubulitis in T-cell mediated kidney graft rejection. Am J Transplant 5: 1827–1836
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