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(93)   

• Missing Value Estimation Methods for DNA Microarrays
  O. Troyanskaya and M. Cantor and G. Sherlock and P. Brown and T. Hastie and R. Tibshirani and D. Bolstein and R. B. Altman Bioinformatics17(6):520-525(2001)
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• CleanEx: a database of heterogeneous gene expression data based on a consistent gene nomenclature
  V. Praz and V. Jagannathan and P. Bucher Nucleic Acids Research(2003)
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• Comparison of Seven Methods for Producing Affymetrix Expression Score Based on False Discovery Rate in Disease Profiling Data
  K. Sheden and W. Chen and R. Kuick and D. Ghosh and J. Macdonald and K. R. Cho and T. J. Giordano and S. B. Gruber and E. R. Fearon and J. M. Taylor and S. Hanash BMC Bioinformatics(2005)
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• Correlation Test to Assess Low-Level Processing of High-Desnity Oligonucletide Microarray Data
  A. Ploner and L. D. Miller and P. Hall and J. Bergh and Y. Pawitan BMC Bioinformatics(2005)
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• Alternative Mapping of Probes to Genes for Affymetrix Chips
  AL. Gautier and M. Moller and L. Frijs-Hansen and S. Knudsen BMC Bioinformatics(2005)
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• Clustering Algorithms
  J. A. Hartigan Wiley, (1975)
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• Maximum Likelihood Estimation of Optimal Scaling Factors for Expression Array Normalization
  A. J. Hartemink and D. K. Gifford and T. S. Jaakola and R. A. Young SPIE BiOS(2001)
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• On the Approximation of Minimizing Non Zero Variables or Unstaisfied Relations in Linear Systems
  E. Amaldi and V. Kann Theoretical Computer Science(1998)
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• Light-Directed, Spatially Addressable Parallel Chemical Synthesis
  S. P. Fdor and J. L. Read and M. C. Pirrung and L. Stryer and A. T. Lu and D. Solas Science(1991)
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• Selection of Relevant Features and Examples in Machine Learning
  A. Blum and P. Langley Artificial Intelligence97(1-2):245-271(1997)
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• Expression MOnitoring by Hybridization to High-Density Oligonucletoide Arrays
  D. J. Lockhart and H. Dong and M. C. Byrne and M. T. Follette and M. V. Gallow and M. S. Chee and M. Mittmann and C. Wang and M? Kbayashi and H. Horton and E. L. Brown Nature Biotech.(1996)
  to imported by bhaibeka on Mar 30, 2006, 4:11 PM
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• The Approximation of Partial Likelihood with Emphasis on Case-Control Studies
  V. T. Farewell and R. L. Prentice Biometrika(1980)
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• A Cautionary Note on the Analysis of Extreme Data with Cox Regression
  F. Y. Hsieh The American Statistician(1995)
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• Survival Distributions: Reliability Applications in the Biomedical Sciences
  A. J. Gross and V. A. Clark Wiley, (1975)
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• Flexible methods of analysing survival data using splines, with applications to breast cancer prognosis
  Gray JASA(1992)
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• Analysis of Survival Data
  Cox and D. Oakes Chapman and Hall (London), (1984)
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• Prediction of Cancer Outcome with Microarrays: a Multiple Radom Validation Strategy
  S. Michiels and S. Koscielny and C. Hill Lancet(2005)
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• Significance analysis of microarrays applied to the ionizing radiation response
  V. G. Tusher and R. Tibshirani and G. Chu PNAS(2001)
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• Modeling Survival Data: Extending the Cox Model
  T. M. Therneau and P. M. Grambsch Springer, (2000)
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• Diffuse Large B-Cell Lymphoma Outcome Prediction by Gene-Expression Profiling
  M. A. Shipp and K. N. Ross and P. Tamayo Nature Medicine(2002)
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