Format

Send to:

Choose Destination
See comment in PubMed Commons below
Pharmacogenomics J. 2010 Aug;10(4):292-309. doi: 10.1038/tpj.2010.56.

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

Author information

  • 1Biomedical Engineering Department, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.

Abstract

In the clinical application of genomic data analysis and modeling, a number of factors contribute to the performance of disease classification and clinical outcome prediction. This study focuses on the k-nearest neighbor (KNN) modeling strategy and its clinical use. Although KNN is simple and clinically appealing, large performance variations were found among experienced data analysis teams in the MicroArray Quality Control Phase II (MAQC-II) project. For clinical end points and controls from breast cancer, neuroblastoma and multiple myeloma, we systematically generated 463,320 KNN models by varying feature ranking method, number of features, distance metric, number of neighbors, vote weighting and decision threshold. We identified factors that contribute to the MAQC-II project performance variation, and validated a KNN data analysis protocol using a newly generated clinical data set with 478 neuroblastoma patients. We interpreted the biological and practical significance of the derived KNN models, and compared their performance with existing clinical factors.

PMID:
20676068
[PubMed - indexed for MEDLINE]
PMCID:
PMC2920072
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Nature Publishing Group Icon for PubMed Central
    Loading ...
    Write to the Help Desk