Robert B Scharpf

Summary

Affiliation: Johns Hopkins Bloomberg School of Public Health
Country: USA

Publications

  1. ncbi When should one subtract background fluorescence in 2-color microarrays?
    Robert B Scharpf
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
    Biostatistics 8:695-707. 2007
  2. ncbi A multilevel model to address batch effects in copy number estimation using SNP arrays
    Robert B Scharpf
    Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
    Biostatistics 12:33-50. 2011
  3. ncbi Pre-processing Agilent microarray data
    Marianna Zahurak
    Johns Hopkins University School of Medicine, Oncology Biostatistics, Baltimore, MD 21205, USA
    BMC Bioinformatics 8:142. 2007
  4. ncbi R classes and methods for SNP array data
    Robert B Scharpf
    Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
    Methods Mol Biol 593:67-79. 2010
  5. ncbi Tackling the widespread and critical impact of batch effects in high-throughput data
    Jeffrey T Leek
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205 2179, USA
    Nat Rev Genet 11:733-9. 2010
  6. ncbi SNPchip: R classes and methods for SNP array data
    Robert B Scharpf
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
    Bioinformatics 23:627-8. 2007
  7. ncbi Utility of whole blood hemostatometry using the clot signature analyzer for assessment of hemostasis in cardiac surgery
    Nauder Faraday
    Department of Anesthesiology, Johns Hopkins Medical Institutions, Baltimore, Maryland 21287, USA
    Anesthesiology 96:1115-22. 2002

Collaborators

Detail Information

Publications7

  1. ncbi When should one subtract background fluorescence in 2-color microarrays?
    Robert B Scharpf
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
    Biostatistics 8:695-707. 2007
    ..Using these results, we develop recommendations for diagnostic visualizations that can help decisions about background subtraction...
  2. ncbi A multilevel model to address batch effects in copy number estimation using SNP arrays
    Robert B Scharpf
    Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
    Biostatistics 12:33-50. 2011
    ..The software is open source and implemented in the R package crlmm at Bioconductor (http:www.bioconductor.org)...
  3. ncbi Pre-processing Agilent microarray data
    Marianna Zahurak
    Johns Hopkins University School of Medicine, Oncology Biostatistics, Baltimore, MD 21205, USA
    BMC Bioinformatics 8:142. 2007
    ..The larger goal is to define best study design and pre-processing practices for Agilent arrays, and we offer some suggestions...
  4. ncbi R classes and methods for SNP array data
    Robert B Scharpf
    Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
    Methods Mol Biol 593:67-79. 2010
    ..This chapter highlights the advantages of adopting and extending Biobase class definitions through a working example of one implementation of classes for the analysis of high-throughput SNP arrays...
  5. ncbi Tackling the widespread and critical impact of batch effects in high-throughput data
    Jeffrey T Leek
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205 2179, USA
    Nat Rev Genet 11:733-9. 2010
    ..We review experimental and computational approaches for doing so...
  6. ncbi SNPchip: R classes and methods for SNP array data
    Robert B Scharpf
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
    Bioinformatics 23:627-8. 2007
    ..bioconductor.org. SUPPLEMENTARY INFORMATION: The supplementary material as described in this article (case studies, installation guidelines and R code) is available from http://biostat.jhsph.edu/~iruczins/publications/sm/..
  7. ncbi Utility of whole blood hemostatometry using the clot signature analyzer for assessment of hemostasis in cardiac surgery
    Nauder Faraday
    Department of Anesthesiology, Johns Hopkins Medical Institutions, Baltimore, Maryland 21287, USA
    Anesthesiology 96:1115-22. 2002
    ..The Clot Signature Analyzer is a hemostatometer that measures global hemostasis in whole blood. The authors hypothesized that point-of-care hemostatometry could detect a clinical coagulopathic state in cardiac surgical patients...