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Alexander Statnikov
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Wisdom of crowds for robust gene network inference
D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ...
Nature methods 9 (8), 796-804, 2012
18012012
A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis
A Statnikov, CF Aliferis, I Tsamardinos, D Hardin, S Levy
Bioinformatics 21 (5), 631-643, 2005
10472005
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
A Statnikov, L Wang, CF Aliferis
BMC bioinformatics 9, 1-10, 2008
8082008
Algorithms for large scale Markov blanket discovery.
I Tsamardinos, CF Aliferis, AR Statnikov, E Statnikov
FLAIRS 2, 376-81, 2003
7172003
Local causal and Markov blanket induction for causal discovery and feature selection for classification part I: algorithms and empirical evaluation.
CF Aliferis, A Statnikov, I Tsamardinos, S Mani, XD Koutsoukos
Journal of Machine Learning Research 11 (1), 2010
6712010
Time and sample efficient discovery of Markov blankets and direct causal relations
I Tsamardinos, CF Aliferis, A Statnikov
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
4732003
HITON: a novel Markov Blanket algorithm for optimal variable selection
CF Aliferis, I Tsamardinos, A Statnikov
AMIA annual symposium proceedings 2003, 21, 2003
4502003
The Notch/Hes1 pathway sustains NF-κB activation through CYLD repression in T cell leukemia
L Espinosa, S Cathelin, T D'Altri, T Trimarchi, A Statnikov, J Guiu, ...
Cancer cell 18 (3), 268-281, 2010
3322010
Quantitative forecasting of PTSD from early trauma responses: A machine learning application
IR Galatzer-Levy, KI Karstoft, A Statnikov, AY Shalev
Journal of psychiatric research 59, 68-76, 2014
2542014
Local causal and Markov blanket induction for causal discovery and feature selection for classification part II: analysis and extensions.
CF Aliferis, A Statnikov, I Tsamardinos, S Mani, XD Koutsoukos
Journal of Machine Learning Research 11 (1), 2010
2222010
GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data
A Statnikov, I Tsamardinos, Y Dosbayev, CF Aliferis
International journal of medical informatics 74 (7-8), 491-503, 2005
2212005
Text categorization models for high-quality article retrieval in internal medicine
Y Aphinyanaphongs, I Tsamardinos, A Statnikov, D Hardin, CF Aliferis
Journal of the American Medical Informatics Association 12 (2), 207-216, 2005
2132005
A comprehensive evaluation of multicategory classification methods for microbiomic data
A Statnikov, M Henaff, V Narendra, K Konganti, Z Li, L Yang, Z Pei, ...
Microbiome 1, 1-12, 2013
1972013
A gentle introduction to support vector machines in biomedicine: Theory and methods
A Statnikov
world scientific, 2011
190*2011
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery.
CF Aliferis, I Tsamardinos, AR Statnikov, LE Brown
METMBS 3, 371-376, 2003
1532003
Bridging a translational gap: using machine learning to improve the prediction of PTSD
KI Karstoft, IR Galatzer-Levy, A Statnikov, Z Li, AY Shalev, ...
BMC psychiatry 15, 1-7, 2015
1472015
Design of the 2015 chalearn automl challenge
I Guyon, K Bennett, G Cawley, HJ Escalante, S Escalera, TK Ho, N Macià, ...
2015 International joint conference on neural networks (IJCNN), 1-8, 2015
1472015
Analysis of the automl challenge series
I Guyon, L Sun-Hosoya, M Boullé, HJ Escalante, S Escalera, Z Liu, ...
Automated Machine Learning 177, 177-219, 2019
1372019
Regression of atherosclerosis is characterized by broad changes in the plaque macrophage transcriptome
JE Feig, Y Vengrenyuk, V Reiser, C Wu, A Statnikov, CF Aliferis, ...
PloS one 7 (6), e39790, 2012
1302012
Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD
IR Galatzer-Levy, S Ma, A Statnikov, R Yehuda, AY Shalev
Translational psychiatry 7 (3), e1070-e1070, 2017
1292017
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Articles 1–20