Statistical Considerations in Combining Biomarkers for Disease Classification

@inproceedings{Feng2004StatisticalCI,
  title={Statistical Considerations in Combining Biomarkers for Disease Classification},
  author={Ziding Feng and Yutaka Yasui},
  booktitle={Disease markers},
  year={2004}
}
The recent advances in genomics (gene expression arrays and SNPs), proteomics (protein expression using mass spectrometry or antibody arrays) opened the door for biomedical researchers to combine multiple biomarkers measured using noninvasive procedures (e.g., samples from serum, urine, stool) for disease classifications (detection, diagnosis, and prognosis). This is important because for most diseases a single biomarker is not adequate in terms of classification performance, e.g., sensitivity… CONTINUE READING

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