Expanding the Understanding of Biases in Development of Clinical-Grade Molecular Signatures: A Case Study in Acute Respiratory Viral Infections

@inproceedings{Lytkin2011ExpandingTU,
  title={Expanding the Understanding of Biases in Development of
                    Clinical-Grade Molecular Signatures: A Case Study in Acute Respiratory Viral
                    Infections},
  author={Nikita I. Lytkin and Lauren Conti Katie McVoy and J{\"o}rn-Hendrik Weitkamp and Constantin F. Aliferis and Alexander Statnikov},
  booktitle={PloS one},
  year={2011}
}
BACKGROUND The promise of modern personalized medicine is to use molecular and clinical information to better diagnose, manage, and treat disease, on an individual patient basis. These functions are predominantly enabled by molecular signatures, which are computational models for predicting phenotypes and other responses of interest from high-throughput assay data. Data-analytics is a central component of molecular signature development and can jeopardize the entire process if conducted… CONTINUE READING

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