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Gene network modular-based classification of microarray samples

By Pingzhao Hu, Shelley B Bull and Hui Jiang
Topics: Proceedings
Publisher: BioMed Central
OAI identifier: oai:pubmedcentral.nih.gov:3314572
Provided by: PubMed Central

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Citations

  1. (2002). A paradigm for class prediction using gene expression profiles.
  2. (2007). Aittokallio T: Systematic construction of gene coexpression networks with applications to human T helper cell differentiation process. Bioinformatics
  3. (1999). al: Broad patterns of gene expression revealed by clustering analysis of tumor Hu et al.
  4. (2007). Averaged gene expressions for regression. Biostatistics
  5. (2002). B├╝hlmann P: Supervised clustering of genes.
  6. (2006). Combining functional and topological properties to identify core modules in protein interaction networks. Proteins
  7. (2006). Eigengene based linear discriminant model for gene expression data analysis. Bioinformatics
  8. (2007). et al: Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer. Nat Med
  9. (2009). et al: Dynamic modularity in protein interaction networks predicts breast cancer outcome. Nat Biotechnol
  10. (2004). et al: In silico dissection of cell-type-associated patterns of gene expression in prostate cancer. Proc Natl Acad Sci USA
  11. (2008). et al: Integrated weighted gene co-expression network analysis with an application to chronic fatigue syndrome.
  12. (1999). et al: Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science
  13. (2006). Exploiting indirect neighbours and topological weight to predict protein function from protein-protein interactions. Bioinformatics
  14. (2008). Geometric interpretation of gene coexpression network analysis. PLoS Comput Biol
  15. (2001). Hong F: Cluster-Rasch models for microarray gene expression data. Genome Biol
  16. (2005). Horvath S: A general framework for weighted gene coexpression network analysis.
  17. (2006). L: Correlation-sharing for detection of differential gene expression.
  18. (2002). Principal Component Analysis
  19. (2005). Regression methods for microarray data.
  20. (2007). Regularized linear discriminant analysis and its application in microarrays. Biostatistics
  21. (2009). Shrinkage-based diagonal discriminant analysis and its applications in high-dimensional data. Biometrics
  22. (2001). Significance analysis of microarrays applied to the ionizing radiation response.
  23. (2003). Speed TP: Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Res
  24. (2001). Supervised harvesting of expression trees. Genome Biol
  25. (2002). TP: Comparison of discrimination methods for the classification of tumors using gene expression data.

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