Vincent A Emanuele

Summary

Affiliation: Centers for Disease Control and Prevention
Country: USA

Publications

  1. ncbi Sensitive and specific peak detection for SELDI-TOF mass spectrometry using a wavelet/neural-network based approach
    Vincent A Emanuele
    Chronic and Viral Diseases Branch, Division of High Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
    PLoS ONE 7:e48103. 2012
  2. ncbi Benchmarking currently available SELDI-TOF MS preprocessing techniques
    Vincent A Emanuele
    Chronic Viral Diseases Branch, Nation Center for Zoonotic, Vector born and Enteric Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
    Proteomics 9:1754-62. 2009
  3. ncbi Quadratic variance models for adaptively preprocessing SELDI-TOF mass spectrometry data
    Vincent A Emanuele
    School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
    BMC Bioinformatics 11:512. 2010

Detail Information

Publications3

  1. ncbi Sensitive and specific peak detection for SELDI-TOF mass spectrometry using a wavelet/neural-network based approach
    Vincent A Emanuele
    Chronic and Viral Diseases Branch, Division of High Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
    PLoS ONE 7:e48103. 2012
    ..The new method was applied to data collected from a study of cervical mucus for the early detection of cervical cancer in HPV infected women. The method shows promise in addressing the ongoing SELDI reproducibility issues...
  2. ncbi Benchmarking currently available SELDI-TOF MS preprocessing techniques
    Vincent A Emanuele
    Chronic Viral Diseases Branch, Nation Center for Zoonotic, Vector born and Enteric Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
    Proteomics 9:1754-62. 2009
    ..There is considerable opportunity for future contributions improving the signal processing of SELDI spectra...
  3. ncbi Quadratic variance models for adaptively preprocessing SELDI-TOF mass spectrometry data
    Vincent A Emanuele
    School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
    BMC Bioinformatics 11:512. 2010
    ..Bottom-up approaches to preprocessing that emphasize modeling SELDI data acquisition are promising avenues of research to find the needed improvements in reproducibility...