k-Nearest neighbor models for microarray gene expression analysis and clinical outcome prediction-Reference-Cited by-同舟云学术

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k-Nearest neighbor models for microarray gene expression analysis and clinical outcome prediction

Published:2010-07-30 Issue:4 Volume:10 Page:292-309
ISSN:1470-269X
Container-title:The Pharmacogenomics Journal
language:en
Short-container-title:Pharmacogenomics J

Author:

Parry R M,Jones W,Stokes T H,Phan J H,Moffitt R A,Fang H,Shi L,Oberthuer A,Fischer M,Tong W,Wang M D

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology,Genetics,Molecular Medicine

Link

http://www.nature.com/articles/tpj201056.pdf

Reference50 articles.

1. Shi L . MAQC-II Project: a comprehensive survey of common practices for the development and validation of microarray-based predictive models. Nat Biotechnol 2010; advance online publication, doi:10.1038/nbt.1665.

2. Gong Y, Yan K, Lin F, Anderson K, Sotiriou C, Andre F et al. Determination of oestrogen-receptor status and ERBB2 status of breast carcinoma: a gene-expression profiling study. Lancet Oncol 2007; 8: 203–211.

3. Shaughnessy Jr JD, Zhan F, Burington BE, Huang Y, Colla S, Hanamura I et al. A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1. Blood 2007; 109: 2276–2284.

4. Oberthuer A, Berthold F, Warnat P, Hero B, Kahlert Y, Spitz R et al. Customized oligonucleotide microarray gene expression-based classification of neuroblastoma patients outperforms current clinical risk stratification. J Clin Oncol 2006; 24: 5070–5078.

5. Dudoit S, Fridlyand J, Speed TP . Comparison of discrimination methods for the classification of tumors using gene expression data. J Am Stat Assoc 2002; 97: 77–87.

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