Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data

@article{Bair2004SemiSupervisedMT,
  title={Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data},
  author={Eric Bair and Robert Tibshirani},
  journal={PLoS Biology},
  year={2004},
  volume={2},
  pages={503 - 511}
}
An important goal of DNA microarray research is to develop tools to diagnose cancer more accurately based on the genetic profile of a tumor. There are several existing techniques in the literature for performing this type of diagnosis. Unfortunately, most of these techniques assume that different subtypes of cancer are already known to exist. Their utility is limited when such subtypes have not been previously identified. Although methods for identifying such subtypes exist, these methods do… CONTINUE READING
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