Grzegorz M. Boratyn, Ph.D.
Affiliations: | 2005 | University of Louisville, Louisville, KY, United States |
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Computer ScienceGoogle:
"Grzegorz Boratyn"Parents
Sign in to add mentorJacek M. Zurada | grad student | 2005 | University of Louisville | |
(Extraction and selection of relevant information in proteomic mass spectra for biomarker identification.) |
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Publications
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Boratyn GM, Datta S, Datta S. (2007) Incorporation of biological knowledge into distance for clustering genes. Bioinformation. 1: 396-405 |
Smolinski TG, Buchanan R, Boratyn GM, et al. (2006) Independent component analysis-motivated approach to classificatory decomposition of cortical evoked potentials. Bmc Bioinformatics. 7: S8 |
Smolinski TG, Boratyn GM, Milanova M, et al. (2006) Hybridization of independent component analysis, rough sets, and multi-objective evolutionary algorithms for classificatory decomposition of cortical evoked potentials Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4146: 174-183 |
Boratyn GM, Smolinski TG, Zurada JM, et al. (2004) Hybridization of blind source separation and rough sets for proteomic biomarker identification Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3070: 486-491 |
Boratyn GM, Smolinski TG, Milanova M, et al. (2003) Scoring-Based Analysis of Protein Patterns for Identification of Myeloma Cancer Proceedings of the International Conference On Mathematics and Engineering Techniques in Medicine and Biological Sciences. 60-65 |
Boratyn GM, Smolinski TG, Milanova M, et al. (2003) Bayesian approach to analysis of protein patterns for identification of myeloma cancer International Conference On Machine Learning and Cybernetics. 2: 1217-1221 |
Boratyn GM, Smolinski TG, Milanova M, et al. (2002) Sparse coding and rough set theory-based hybrid approach to the classificatory decomposition of cortical evoked potentials Iconip 2002 - Proceedings of the 9th International Conference On Neural Information Processing: Computational Intelligence For the E-Age. 5: 2264-2268 |
Smolinski TG, Boratyn GM, Milanova M, et al. (2002) Evolutionary algorithms and rough sets-based hybrid approach to classificatory decomposition of cortical evoked potentials Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2475: 621-628 |
Milanova M, Smolinski TG, Boratyn GM, et al. (2002) Sparse correlation kernel analysis and evolutionary algorithm-based modeling of the sensory activity within the rat’s barrel cortex Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2388: 198-212 |