Yuan Qi

Summary

Affiliation: The University of Texas
Country: USA

Publications

  1. pmc Centromere protein-A, an essential centromere protein, is a prognostic marker for relapse in estrogen receptor-positive breast cancer
    Susan L McGovern
    Department of Radiation Oncology, 1515 Holcombe Blvd, University of Texas MD Anderson Cancer Center, Houston, Texas, 77030, USA
    Breast Cancer Res 14:R72. 2012
  2. pmc Cell line derived multi-gene predictor of pathologic response to neoadjuvant chemotherapy in breast cancer: a validation study on US Oncology 02-103 clinical trial
    Kui Shen
    Department of Product Development, Precision Therapeutics, Inc, 2516 Jane Street, Pittsburgh, PA 15203, USA
    BMC Med Genomics 5:51. 2012
  3. pmc Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems
    Kenneth R Hess
    Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, USA
    BMC Bioinformatics 12:463. 2011

Detail Information

Publications3

  1. pmc Centromere protein-A, an essential centromere protein, is a prognostic marker for relapse in estrogen receptor-positive breast cancer
    Susan L McGovern
    Department of Radiation Oncology, 1515 Holcombe Blvd, University of Texas MD Anderson Cancer Center, Houston, Texas, 77030, USA
    Breast Cancer Res 14:R72. 2012
    ..This study was undertaken to determine if CENP-A is a prognostic factor for breast cancer patients not receiving systemic therapy or predictive of response to tamoxifen or neoadjuvant chemotherapy...
  2. pmc Cell line derived multi-gene predictor of pathologic response to neoadjuvant chemotherapy in breast cancer: a validation study on US Oncology 02-103 clinical trial
    Kui Shen
    Department of Product Development, Precision Therapeutics, Inc, 2516 Jane Street, Pittsburgh, PA 15203, USA
    BMC Med Genomics 5:51. 2012
    ....
  3. pmc Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems
    Kenneth R Hess
    Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, USA
    BMC Bioinformatics 12:463. 2011
    ..Prediction models were trained to identify which cases had been perturbed. Performance was estimated using Monte-Carlo cross validation...