Peer-reviewed papers
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Ma S, Kemmeren P, Gresham D, Statnikov A. De-Novo Learning of Genome-Scale Regulatory Networks in S. Cerevisiae. PLoS ONE (in press), 2014.
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Galatzer-Levy IR, Karstoft KI, Statnikov A, Shalev AY. Quantitative Forecasting of PTSD from Early Trauma Responses: A Machine Learning Application. Journal of Psychiatric Research (in press), 2014.
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Aphinyanaphongs Y, Fu L, Li Z, Peskin E, Efstathiadis E, Aliferis CF, Statnikov A. A Comprehensive Empirical Comparison of Modern Supervised Classification and Feature Selection Methods for Text Categorization. Journal of the American Society for Information Science and Technology (JASIST) (in press), 2014.
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Udyavar AR, Hoeksema MD, Clark JE, Zou Y, Tang Z, Li M, Chen H, Statnikov A, Li Z, Shyr Y, Liebler DC, Field J, Eisenberg R, Estrada L, Massion PP, Quaranta V. Co-Expression Network Analysis Identifies Spleen Tyrosine Kinase (SYK) as an Oncogenic Driver in Small-Cell Lung Cancer. BMC Systems Biology, 2013; 7(Suppl 5): S1.
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Espinosa L, Cathelin S, D’Altri T, Trimarchi T, Statnikov A, Guiu J, Rodilla V, Ingles-Esteve J, Nomdedeu J, Bellosillo B, Besses C, Abdel-Wahab O, Kucine N, Sun SC, Song G, Mullighan CC, Levine RL, Rajewsky K, Aifantis I, Bigas A. The Notch/Hes1 Pathway Sustains NF-κB Activation through CYLD Repression in T Cell Leukemia. Cancer Cell, 2010; 18(3): 268-281.
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Aliferis CF, Tsamardinos I, Massion P, Statnikov A, Fananapazir N, Hardin D. Machine Learning Models for Classification of Lung Cancer and Selection of Genomic Markers Using Array Gene Expression Data.Proceedings of the 16th International Florida Artificial Intelligence Research Society (FLAIRS) Conference, 2003.
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Aliferis CF, Tsamardinos I, Massion P, Statnikov A, Hardin D. Why Classification Models Using Array Gene Expression Data Perform So Well: A Preliminary Investigation of Explanatory Factors. Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS), 2003.