Alexander Statnikov

Summary

Affiliation: Vanderbilt University
Country: USA

Publications

  1. ncbi request reprint Methods for multi-category cancer diagnosis from gene expression data: a comprehensive evaluation to inform decision support system development
    Alexander Statnikov
    Discovery Systems Laboratory, Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37232, USA
    Stud Health Technol Inform 107:813-7. 2004
  2. ncbi request reprint A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis
    Alexander Statnikov
    Department of Biomedical Informatics, Vanderbilt University Nashville, TN, USA
    Bioinformatics 21:631-43. 2005
  3. pmc A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
    Alexander Statnikov
    Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
    BMC Bioinformatics 9:319. 2008
  4. ncbi request reprint GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data
    Alexander Statnikov
    Discovery Systems Laboratory, Department of Biomedical Informatics, Vanderbilt University, 2209 Garland Avenue, Nashville, TN 37232, USA
    Int J Med Inform 74:491-503. 2005
  5. pmc A comparison of citation metrics to machine learning filters for the identification of high quality MEDLINE documents
    Yindalon Aphinyanaphongs
    Department of Biomedical Informatics, Eskind Biomedical Library, Room 412, Vanderbilt University, 2209 Garland Avenue, Nashville, TN 37232, USA
    J Am Med Inform Assoc 13:446-55. 2006
  6. pmc Text categorization models for high-quality article retrieval in internal medicine
    Yindalon Aphinyanaphongs
    Department of Biomedical Informatics, 4th Floor, Eskind Biomedical Library, 2209 Garland Avenue, Vanderbilt University, Nashville, TN 37232, USA
    J Am Med Inform Assoc 12:207-16. 2005
  7. pmc Effects of environment, genetics and data analysis pitfalls in an esophageal cancer genome-wide association study
    Alexander Statnikov
    Discovery Systems Laboratory, Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA
    PLoS ONE 2:e958. 2007
  8. pmc Challenges in the analysis of mass-throughput data: a technical commentary from the statistical machine learning perspective
    Constantin F Aliferis
    Discovery Systems Laboratory, Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
    Cancer Inform 2:133-62. 2007
  9. doi request reprint A statistical reappraisal of the findings of an esophageal cancer genome-wide association study
    Alexander Statnikov
    Cancer Res 68:3074-5; author reply 3075. 2008

Collaborators

Detail Information

Publications9

  1. ncbi request reprint Methods for multi-category cancer diagnosis from gene expression data: a comprehensive evaluation to inform decision support system development
    Alexander Statnikov
    Discovery Systems Laboratory, Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37232, USA
    Stud Health Technol Inform 107:813-7. 2004
    ..These results guided the development of a software system that fully automates cancer diagnostic model construction with quality on par with or better than previously published results derived by expert human analysts...
  2. ncbi request reprint A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis
    Alexander Statnikov
    Department of Biomedical Informatics, Vanderbilt University Nashville, TN, USA
    Bioinformatics 21:631-43. 2005
    ....
  3. pmc A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
    Alexander Statnikov
    Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
    BMC Bioinformatics 9:319. 2008
    ..Recent work, however, suggests that random forest classifiers may outperform support vector machines in this domain...
  4. ncbi request reprint GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data
    Alexander Statnikov
    Discovery Systems Laboratory, Department of Biomedical Informatics, Vanderbilt University, 2209 Garland Avenue, Nashville, TN 37232, USA
    Int J Med Inform 74:491-503. 2005
    ..GEMS is freely available for download for non-commercial use from http://www.gems-system.org...
  5. pmc A comparison of citation metrics to machine learning filters for the identification of high quality MEDLINE documents
    Yindalon Aphinyanaphongs
    Department of Biomedical Informatics, Eskind Biomedical Library, Room 412, Vanderbilt University, 2209 Garland Avenue, Nashville, TN 37232, USA
    J Am Med Inform Assoc 13:446-55. 2006
    ..e., models built for a different task and/or different gold standard)...
  6. pmc Text categorization models for high-quality article retrieval in internal medicine
    Yindalon Aphinyanaphongs
    Department of Biomedical Informatics, 4th Floor, Eskind Biomedical Library, 2209 Garland Avenue, Vanderbilt University, Nashville, TN 37232, USA
    J Am Med Inform Assoc 12:207-16. 2005
    ....
  7. pmc Effects of environment, genetics and data analysis pitfalls in an esophageal cancer genome-wide association study
    Alexander Statnikov
    Discovery Systems Laboratory, Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, USA
    PLoS ONE 2:e958. 2007
    ..Several recent genome-wide association studies employing these technologies suggest that panels of SNPs can be a useful tool for predicting cancer susceptibility and discovery of potentially important new disease loci...
  8. pmc Challenges in the analysis of mass-throughput data: a technical commentary from the statistical machine learning perspective
    Constantin F Aliferis
    Discovery Systems Laboratory, Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA
    Cancer Inform 2:133-62. 2007
    ..We attempt to shed light on the nature and causes of these problems and to outline viable methodological approaches to overcome them...
  9. doi request reprint A statistical reappraisal of the findings of an esophageal cancer genome-wide association study
    Alexander Statnikov
    Cancer Res 68:3074-5; author reply 3075. 2008