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Correspondence
Nature Biotechnology - 25, 25 - 26 (2007)
doi:10.1038/nbt0107-25

Statistical methods and microarray data

Lev Klebanov1, Xing Qiu2, Stephen Welle3 & Andrei Yakovlev2

1  Department of Probability and Statistics, Charles University, Sokolovska 83, Praha-8, CZ-18675, Czech Republic. andrei_yakovlev@urmc.rochester.edu

2  Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Box 630, Rochester, New York 14642, USA.

3  Department of Functional Genomics, University of Rochester, 601 Elmwood Avenue, Box 630, Rochester, New York 14642, USA.


REFERENCES
    1. Shi, L. et al. Nat. Biotechnol. 24, 1151–1161 (2006). | Article | PubMed | ChemPort |
    2. Guo, L. et al. Nat. Biotechnol. 24, 1162–1169 (2006). | Article | ChemPort |
    3. Chen, L. et al. J. Biol. Syst. (in the press).
    4. Qiu, X., Brooks, A.I., Klebanov, L. & Yakovlev, A. BMC Bioinformatics 6, 120 (2005). | Article | PubMed | ChemPort |
    5. Qiu, X., Klebanov, L. & Yakovlev, A.Y. Statist. Appl. Genet. Mol. Biol. 4, 34 (2005).
    6. Qiu, X. & Yakovlev, A. J. Bioinf. Comput. Biol. 4, 1–12 (2006). | Article |
    7. Klebanov, L., Jordan, C. & Yakovlev, A. Statist. Appl. Genet. Mol. Biol. 5, 7 (2006).
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