Research Topics
| Alexander StatnikovSummaryAffiliation: Vanderbilt University Country: USA Publications
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Detail Information
Publications
Methods for multi-category cancer diagnosis from gene expression data: a comprehensive evaluation to inform decision support system developmentAlexander 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...- A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosisAlexander Statnikov
Department of Biomedical Informatics, Vanderbilt University Nashville, TN, USA
Bioinformatics 21:631-43. 2005.... - A comprehensive comparison of random forests and support vector machines for microarray-based cancer classificationAlexander 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... - GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression dataAlexander 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... - A comparison of citation metrics to machine learning filters for the identification of high quality MEDLINE documentsYindalon 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..Previous research that claimed better performance of citation metrics than machine learning in one of the corpora examined here is attributed to using machine learning filters built for a different gold standard and task... - Text categorization models for high-quality article retrieval in internal medicineYindalon 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.... - Effects of environment, genetics and data analysis pitfalls in an esophageal cancer genome-wide association studyAlexander 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... - Challenges in the analysis of mass-throughput data: a technical commentary from the statistical machine learning perspectiveConstantin 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... - A statistical reappraisal of the findings of an esophageal cancer genome-wide association studyAlexander Statnikov
Cancer Res 68:3074-5; author reply 3075. 2008