Comparison of Computational Algorithms for the Classification of Liver Cancer using SELDI Mass Spectrometry: A Case Study

@article{Shen2007ComparisonOC,
  title={Comparison of Computational Algorithms for the Classification of Liver Cancer using SELDI Mass Spectrometry: A Case Study},
  author={Changyu Shen and Timothy E Breen and Lacey Elizabeth Dobrolecki and C. Max Schmidt and George W. Sledge and Kathy D. Miller and Robert J. Hickey},
  journal={Cancer Informatics},
  year={2007},
  volume={3},
  pages={329 - 339}
}
INTRODUCTION As an alternative to DNA microarrays, mass spectrometry based analysis of proteomic patterns has shown great potential in cancer diagnosis. The ultimate application of this technique in clinical settings relies on the advancement of the technology itself and the maturity of the computational tools used to analyze the data. A number of computational algorithms constructed on different principles are available for the classification of disease status based on proteomic patterns… CONTINUE READING