Xing Qiu

Summary

Affiliation: University of Rochester
Country: USA

Publications

  1. ncbi Hierarchical parallelization of gene differential association analysis
    Mark Needham
    Department of Computer Science, University of Rochester, New York 14627, USA
    BMC Bioinformatics 12:374. 2011
  2. ncbi Detecting intergene correlation changes in microarray analysis: a new approach to gene selection
    Rui Hu
    Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Box 630, Rochester, New York 14642, USA
    BMC Bioinformatics 10:20. 2009
  3. ncbi The effects of normalization on the correlation structure of microarray data
    Xing Qiu
    Department of Biostatistics and Computational Biology, University of Rochester, New York 14642, USA
    BMC Bioinformatics 6:120. 2005
  4. ncbi Some comments on instability of false discovery rate estimation
    Xing Qiu
    Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Box 630, Rochester, New York 14642, USA
    J Bioinform Comput Biol 4:1057-68. 2006
  5. ncbi A new gene selection procedure based on the covariance distance
    Rui Hu
    Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Box 630, Rochester, NY 14642, USA
    Bioinformatics 26:348-54. 2010
  6. ncbi Genomic responses from the estrogen-responsive element-dependent signaling pathway mediated by estrogen receptor alpha are required to elicit cellular alterations
    Stephanie L Nott
    Department of Biochemistry and Biophysics, University of Rochester Medical School, Rochester, New York 14642, USA
    J Biol Chem 284:15277-88. 2009
  7. ncbi Comments on probabilistic models behind the concept of false discovery rate
    Xing Qiu
    Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Box 630, Rochester, New York 14642, USA
    J Bioinform Comput Biol 5:963-75. 2007
  8. ncbi Utility of correlation measures in analysis of gene expression
    Anthony Almudevar
    Department of Biostatistics and Computational Biology, University of Rochester, New York 14642, USA
    NeuroRx 3:384-95. 2006
  9. ncbi Assessing stability of gene selection in microarray data analysis
    Xing Qiu
    Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Rochester, New York 14642, USA
    BMC Bioinformatics 7:50. 2006
  10. ncbi MR diffusion tensor and perfusion-weighted imaging in preoperative grading of supratentorial nonenhancing gliomas
    Xiang Liu
    Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY 14642 8638, USA
    Neuro Oncol 13:447-55. 2011

Collaborators

Detail Information

Publications15

  1. ncbi Hierarchical parallelization of gene differential association analysis
    Mark Needham
    Department of Computer Science, University of Rochester, New York 14627, USA
    BMC Bioinformatics 12:374. 2011
    ....
  2. ncbi Detecting intergene correlation changes in microarray analysis: a new approach to gene selection
    Rui Hu
    Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Box 630, Rochester, New York 14642, USA
    BMC Bioinformatics 10:20. 2009
    ..We intend to enrich the above procedure by proposing a nonparametric selection procedure that selects differentially correlated genes...
  3. ncbi The effects of normalization on the correlation structure of microarray data
    Xing Qiu
    Department of Biostatistics and Computational Biology, University of Rochester, New York 14642, USA
    BMC Bioinformatics 6:120. 2005
    ..A potential impact of between-gene correlations on the performance of such methods has yet to be explored...
  4. ncbi Some comments on instability of false discovery rate estimation
    Xing Qiu
    Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Box 630, Rochester, New York 14642, USA
    J Bioinform Comput Biol 4:1057-68. 2006
    ..The present communication shows that the variance of the proposed estimators may be intolerably high, the correlation structure of microarray data being the main cause of their instability...
  5. ncbi A new gene selection procedure based on the covariance distance
    Rui Hu
    Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Box 630, Rochester, NY 14642, USA
    Bioinformatics 26:348-54. 2010
    ..We propose a statistical procedure to select genes that have different associations with others across different phenotypes. This procedure is based on a new gene association score, called the covariance distance...
  6. ncbi Genomic responses from the estrogen-responsive element-dependent signaling pathway mediated by estrogen receptor alpha are required to elicit cellular alterations
    Stephanie L Nott
    Department of Biochemistry and Biophysics, University of Rochester Medical School, Rochester, New York 14642, USA
    J Biol Chem 284:15277-88. 2009
    ..E2-ERalpha, on the other hand, effectively repressed growth in this cell line. Our findings suggest that genomic responses from the ERE-dependent signaling pathway are required for E2-ERalpha to induce alterations in cellular responses...
  7. ncbi Comments on probabilistic models behind the concept of false discovery rate
    Xing Qiu
    Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Box 630, Rochester, New York 14642, USA
    J Bioinform Comput Biol 5:963-75. 2007
    ..We also present a simulation study designed to assess the effects of inter-gene correlations on some theoretical results based on such models...
  8. ncbi Utility of correlation measures in analysis of gene expression
    Anthony Almudevar
    Department of Biostatistics and Computational Biology, University of Rochester, New York 14642, USA
    NeuroRx 3:384-95. 2006
    ..These issues have broad applicability to all genomic studies examining the biology, diagnosis, and treatment of neurological disorders...
  9. ncbi Assessing stability of gene selection in microarray data analysis
    Xing Qiu
    Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Rochester, New York 14642, USA
    BMC Bioinformatics 7:50. 2006
    ..We have conducted studies to assess stability and some other properties of several gene selection procedures with biological and simulated data...
  10. ncbi MR diffusion tensor and perfusion-weighted imaging in preoperative grading of supratentorial nonenhancing gliomas
    Xiang Liu
    Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY 14642 8638, USA
    Neuro Oncol 13:447-55. 2011
    ..7%. These findings were better than maximal rCBV ratio, mean ADC, and minimum ADC. The mean FA and maximal FA, used individually or combined, may be useful in preoperative grading of supratentorial nonenhancing gliomas...
  11. ncbi Comparison of the Paley method using chronological age with use of skeletal maturity for predicting mature limb length in children
    James O Sanders
    University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642, USA
    J Bone Joint Surg Am 93:1051-6. 2011
    ..The purpose of this study was to determine whether the use of chronological age or the level of skeletal maturity provides more accurate limb-length predictions...
  12. ncbi Gene expression profiling reveals that the regulation of estrogen-responsive element-independent genes by 17 beta-estradiol-estrogen receptor beta is uncoupled from the induction of phenotypic changes in cell models
    Xiaodong Li
    Departments of Biochemistry and Biophysics, University of Rochester Medical School, Rochester, New York 14642, USA
    J Mol Endocrinol 40:211-29. 2008
    ..These findings suggest that the ERE-dependent pathway is a required signaling route for E(2)-ERbeta to induce cellular responses...
  13. ncbi HER2 amplification, overexpression and score criteria in esophageal adenocarcinoma
    Yingchuan Hu
    Department of Pathology, University of Rochester, Rochester, NY, USA
    Mod Pathol 24:899-907. 2011
    ..A modified two-step model for esophageal adenocarcinoma HER2 testing is recommended for clinical esophageal adenocarcinoma HER2 trial...
  14. ncbi Statistical methods and microarray data
    Lev Klebanov
    Nat Biotechnol 25:25-6; author reply 26-7. 2007
  15. ncbi Testing differential expression in nonoverlapping gene pairs: a new perspective for the empirical Bayes method
    Lev Klebanov
    Department of Probability and Statistics, Charles University, Sokolovska 83, Praha 8, CZ 18675, Czech Republic
    J Bioinform Comput Biol 6:301-16. 2008
    ..The new paradigm arising from the existence of the delta-sequence in biological data offers considerable scope for future developments in this area of methodological research...