Igor V. Tetko

Ioana Oprisiu, Sergii Novotarskyi, Igor V. Tetko: Modeling of non-additive mixture properties using the Online CHEmical database and Modeling environment (OCHEM). J. Cheminformatics 5: 4 (2013)

Igor V. Tetko: The perspectives of computational chemistry modeling. Journal of Computer-Aided Molecular Design 26(1): 135-136 (2012)

Iurii Sushko, Sergii Novotarskyi, Robert Körner, Anil Kumar Pandey, Matthias Rupp, Wolfram Teetz, Stefan Brandmaier, Ahmed Abdelaziz, Volodymyr V. Prokopenko, Vsevolod Yu. Tanchuk, Roberto Todeschini, Alexandre Varnek, Gilles Marcou, Peter Ertl, Vladimir Potemkin, Maria Grishina, Johann Gasteiger, Christof H. Schwab, Igor I. Baskin, Vladimir A. Palyulin, Eugene V. Radchenko, William J. Welsh, Vladyslav V. Kholodovych, Dmitriy Chekmarev, Artem Cherkasov, João Aires-de-Sousa, Qing-You Zhang, Andreas Bender, Florian Nigsch, Luc Patiny, Antony J. Williams, Valery Tkachenko, Igor V. Tetko: Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information. Journal of Computer-Aided Molecular Design 25(6): 533-554 (2011)

Igor V. Tetko, Igor V. Rodchenkov, Mathias C. Walter, Thomas Rattei, Hans-Werner Mewes: Beyond the "best" match: machine learning annotation of protein sequences by integration of different sources of information. Bioinformatics 24(5): 621-628 (2008)

Dimitrij Surmeli, Oliver Ratmann, Hans-Werner Mewes, Igor V. Tetko: FunCat functional inference with belief propagation and feature integration. Computational Biology and Chemistry 32(5): 375-377 (2008)

Igor V. Tetko, Vitaly P. Solov'ev, Alexey V. Antonov, Xiaojun Yao, Jean-Pierre Doucet, Bo Tao Fan, Frank Hoonakker, Denis Fourches, Piere Jost, Nicolas Lachiche, Alexandre Varnek: Benchmarking of Linear and Nonlinear Approaches for Quantitative Structure-Property Relationship Studies of Metal Complexation with Ionophores. Journal of Chemical Information and Modeling 46(2): 808-819 (2006)

Andreas Ruepp, Octave Noubibou Doudieu, Jos van den Oever, Barbara Brauner, Irmtraud Dunger-Kaltenbach, Gisela Fobo, Goar Frishman, Corinna Montrone, Christine Skornia, Steffi Wanka, Thomas Rattei, Philipp Pagel, M. Louise Riley, Dmitrij Frishman, Dimitrij Surmeli, Igor V. Tetko, Matthias Oesterheld, Volker Stümpflen, Hans-Werner Mewes: The Mouse Functional Genome Database (MfunGD): functional annotation of proteins in the light of their cellular context. Nucleic Acids Research 34(Database-Issue): 568-571 (2006)

Igor V. Tetko, Georg Haberer, Stephen Rudd, Blake C. Meyers, Hans-Werner Mewes, Klaus F. X. Mayer: Spatiotemporal Expression Control Correlates with Intragenic Scaffold Matrix Attachment Regions (S/MARs) in Arabidopsis thaliana. PLoS Computational Biology 2(3) (2006)

Igor V. Tetko, Georg Haberer, Stephen Rudd, Blake C. Meyers, Hans-Werner Mewes, Klaus F. X. Mayer: Correction: Spatiotemporal Expression Control Correlates with Intragenic Scaffold Matrix Attachment Regions (S/MARs) in Arabidopsis thaliana. PLoS Computational Biology 2(6) (2006)

Caroline C. Friedel, Katharina H. V. Jahn, Selina Sommer, Stephen Rudd, Hans-Werner Mewes, Igor V. Tetko: Support vector machines for separation of mixed plant?Cpathogen EST collections based on codon usage. Bioinformatics 21(8): 1383-1388 (2005)

Igor V. Tetko, Barbara Brauner, Irmtraud Dunger-Kaltenbach, Goar Frishman, Corinna Montrone, Gisela Fobo, Andreas Ruepp, Alexey V. Antonov, Dimitrij Surmeli, Hans-Werner Mewes: MIPS bacterial genomes functional annotation benchmark dataset. Bioinformatics 21(10): 2520-2521 (2005)

Igor V. Tetko, Axel Facius, Andreas Ruepp, Hans-Werner Mewes: Super paramagnetic clustering of protein sequences. BMC Bioinformatics 6: 82 (2005)

Yu Wang, Igor V. Tetko, Mark A. Hall, Eibe Frank, Axel Facius, Klaus F. X. Mayer, Hans-Werner Mewes: Gene selection from microarray data for cancer classification - a machine learning approach. Computational Biology and Chemistry 29(1): 37-46 (2005)

Alexey V. Antonov, Igor V. Tetko, Denis Kosykh, Dimitrij Surmeli, Hans-Werner Mewes: Exploiting scale-free information from expression data for cancer classification. Computational Biology and Chemistry 29(4): 288-293 (2005)

Stephen Rudd, Igor V. Tetko: Éclair - a web service for unravelling species origin of sequences sampled from mixed host interfaces. Nucleic Acids Research 33(Web-Server-Issue): 724-727 (2005)

Alexey V. Antonov, Igor V. Tetko, Denis Kosykh, Dimitrij Surmeli, Hans-Werner Mewes: Exploiting scale-free information from expression data for cancer classification. German Conference on Bioinformatics 2005: 93-102

Alexey V. Antonov, Igor V. Tetko, Michael T. Mader, Jan Budczies, Hans-Werner Mewes: Optimization models for cancer classification: extracting gene interaction information from microarray expression data. Bioinformatics 20(5): 644-652 (2004)

Alexey V. Antonov, Igor V. Tetko, Volodymyr V. Prokopenko, Denis Kosykh, Hans-Werner Mewes: A web portal for classification of expression data using maximal margin linear programming. Bioinformatics 20(17): 3284-3285 (2004)

Alexey V. Antonov, Igor V. Tetko, Michael T. Mader, Jan Budczies, Hans-Werner Mewes: Exploiting gene interaction information from microarray expression data for cancer classification. German Conference on Bioinformatics 2003: 9-14

Igor V. Tetko: Neural Network Studies, 4. Introduction to Associative Neural Networks. Journal of Chemical Information and Computer Sciences 42(3): 717-728 (2002)

Igor V. Tetko, Vsevolod Yu. Tanchuk: Application of Associative Neural Networks for Prediction of Lipophilicity in ALOGPS 2.1 Program. Journal of Chemical Information and Computer Sciences 42(5): 1136-1145 (2002)

Igor V. Tetko: Associative Neural Network. Neural Processing Letters 16(2): 187-199 (2002)

Alessandro E. P. Villa, Igor V. Tetko, Javier Iglesias: Computer assisted neurophysiological analysis of cell assemblies activity. Neurocomputing 38-40: 1025-1030 (2001)

Igor V. Tetko, Alessandro E. P. Villa: Pattern grouping algorithm and de-convolution filtering of non-stationary correlated Poisson processes. Neurocomputing 38-40: 1709-1714 (2001)

Igor V. Tetko, Vsevolod Yu. Tanchuk, Tamara N. Kasheva, Alessandro E. P. Villa: Internet Software for the Calculation of the Lipophilicity and Aqueous Solubility of Chemical Compounds. Journal of Chemical Information and Computer Sciences 41(2): 246-252 (2001)

Igor V. Tetko, Vsevolod Yu. Tanchuk, Alessandro E. P. Villa: Prediction of n-Octanol/Water Partition Coefficients from PHYSPROP Database Using Artificial Neural Networks and E-State Indices. Journal of Chemical Information and Computer Sciences 41(5): 1407-1421 (2001)

Igor V. Tetko, Vsevolod Yu. Tanchuk, Tamara N. Kasheva, Alessandro E. P. Villa: Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices. Journal of Chemical Information and Computer Sciences 41(6): 1488-1493 (2001)

Jarmo J. Huuskonen, David J. Livingstone, Igor V. Tetko: Neural Network Modeling for Estimation of Partition Coefficient Based on Atom-Type Electrotopological State Indices. Journal of Chemical Information and Computer Sciences 40(4): 947-955 (2000)

Vasyl V. Kovalishyn, Igor V. Tetko, Alexander I. Luik, Vladyslav V. Kholodovych, Alessandro E. P. Villa, David J. Livingstone: Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture. Journal of Chemical Information and Computer Sciences 38(4): 651-659 (1998)

Igor V. Tetko, Alessandro E. P. Villa, Tatyana I. Aksenova, Walter L. Zielinski, James Brower, Elizabeth R. Collantes, William J. Welsh: Application of a Pruning Algorithm To Optimize Artificial Neural Networks for Pharmaceutical Fingerprinting. Journal of Chemical Information and Computer Sciences 38(4): 660-668 (1998)

Luc Jeandenans, Michel Gautero, François Grize, Igor V. Tetko, Alessandro E. P. Villa: Computer assisted neurophysiology by a distributed JAVA program. HCC 1998: 261-272

Igor V. Tetko, Alessandro E. P. Villa: Fast combinatorial methods to estimate the probability of complex temporal patterns of spikes. Biological Cybernetics 76(5): 397-408 (1997)

David J. Livingstone, David T. Manallack, Igor V. Tetko: Data modelling with neural networks: Advantages and limitations. Journal of Computer-Aided Molecular Design 11(2): 135-142 (1997)

Igor V. Tetko, Alessandro E. P. Villa: Efficient Partition of Learning Data Sets for Neural Network Training. Neural Networks 10(8): 1361-1374 (1997)

Igor V. Tetko, Alessandro E. P. Villa: An Enhancement of Generalization Ability in Cascade Correlation Algorithm by Avoidance of Overfitting/Overtraining Problem. Neural Processing Letters 6(1-2): 43-50 (1997)

Igor V. Tetko, Alessandro E. P. Villa: An Efficient Partition of Training Data Set Improves Speed and Accuracy of Cascade-correlation Algorithm. Neural Processing Letters 6(1-2): 51-59 (1997)

Igor V. Tetko, Alessandro E. P. Villa: A Comparative Study of Pattern Detection Algorithm and Dynamical System Approach Using Simulated Spike Trains. ICANN 1997: 37-42

Igor V. Tetko, Alessandro E. P. Villa, David J. Livingstone: Neural Network Studies, 2. Variable Selection. Journal of Chemical Information and Computer Sciences 36(4): 794-803 (1996)

Igor V. Tetko, David J. Livingstone, Alexander I. Luik: Neural network studies, 1. Comparison of overfitting and overtraining. Journal of Chemical Information and Computer Sciences 35(5): 826-833 (1995)

Igor V. Tetko, Vsevolod Yu. Tanchuk, Alexander I. Luik: Evaluation of potential HIV-1 reverse transcriptase inhibitors by artificial neural networks. CBMS 1994: 311-316

Igor V. Tetko, Alexander I. Luik: Input Parameters' estimation via neural networks. ESANN 1994