Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases OK Tørresen, B Star, P Mier, MA Andrade-Navarro, A Bateman, P Jarnot, ... Nucleic acids research 47 (21), 10994-11006, 2019 | 46 | 2019 |
Disentangling the complexity of low complexity proteins P Mier, L Paladin, S Tamana, S Petrosian, B Hajdu-Soltész, A Urbanek, ... Briefings in bioinformatics 21 (2), 458-472, 2020 | 24 | 2020 |
Induction and selection of the most interesting Gene Ontology based multiattribute rules for descriptions of gene groups M Sikora, A Gruca Pattern Recognition Letters 32 (2), 258-269, 2011 | 20 | 2011 |
RuleGO: a logical rules-based tool for description of gene groups by means of Gene Ontology A Gruca, M Sikora, A Polanski Nucleic acids research 39 (suppl_2), W293-W301, 2011 | 17 | 2011 |
Proteome profiles of different types of thyroid cancers M Gawin, A Wojakowska, M Pietrowska, £ Marczak, M Chekan, K Jelonek, ... Molecular and cellular endocrinology 472, 68-79, 2018 | 13 | 2018 |
Quality improvement of rule-based gene group descriptions using information about GO terms importance occurring in premises of determined rules M Sikora, A Gruca International Journal of Applied Mathematics and Computer Science 20 (3 …, 2010 | 12 | 2010 |
Image quality assessment using phase spectrum correlation P Skurowski, A Gruca International Conference on Computer Vision and Graphics, 80-89, 2008 | 11 | 2008 |
Rule based functional description of genes–estimation of the multicriteria rule interestingness measure by the UTA method A Gruca, M Sikora Biocybernetics and Biomedical Engineering 33 (4), 222-234, 2013 | 10 | 2013 |
Quantitative conformational analysis of functionally important electrostatic interactions in the intrinsically disordered region of delta subunit of bacterial RNA polymerase V Kubáň, P Srb, H Štégnerová, P Padrta, M Zachrdla, Z Jaseňáková, ... Journal of the American Chemical Society 141 (42), 16817-16828, 2019 | 8 | 2019 |
Man-Machine Interactions 3 DA Gruca, T Czachórski, S Kozielski Springer International Publishing, 2014 | 8 | 2014 |
Fuzzy clustering and gene ontology based decision rules for identification and description of gene groups A Gruca, M Kozielski, M Sikora Man-Machine Interactions, 141-149, 2009 | 7 | 2009 |
The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task–Insights from the IARAI Traffic4cast Competition at NeurIPS 2019 DP Kreil, MK Kopp, D Jonietz, M Neun, A Gruca, P Herruzo, H Martin, ... NeurIPS 2019 Competition and Demonstration Track, 232-241, 2020 | 6 | 2020 |
Performance Analysis of. NET Based Object–Relational Mapping Frameworks A Gruca, P Podsiad³o International Conference: Beyond Databases, Architectures and Structures, 40-49, 2014 | 5 | 2014 |
Soft approach to identification of cohesive clusters in two gene representations M Kozielski, A Gruca Procedia Computer Science 35, 281-289, 2014 | 5 | 2014 |
Improvement of FP-growth algorithm for mining description-oriented rules A Gruca Man-Machine Interactions 3, 183-192, 2014 | 5 | 2014 |
Functional interpretation of gene sets: semantic-based clustering of gene ontology terms on the BioTest platform A Gruca, R Jaksik, K Psiuk-Maksymowicz International Conference on Man–Machine Interactions, 125-136, 2017 | 4 | 2017 |
Analysis of GO composition of gene clusters by using multiattribute decision rules A Gruca Biocybernetics and Biomedical Engineering 28 (4), 21-31, 2008 | 4 | 2008 |
PlaToLoCo: the first web meta-server for visualization and annotation of low complexity regions in proteins P Jarnot, J Ziemska-Legiecka, L Dobson, M Merski, P Mier, ... Nucleic acids research 48 (W1), W77-W84, 2020 | 3 | 2020 |
Data-and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets A Gruca, M Sikora Journal of biomedical semantics 8 (1), 1-14, 2017 | 3 | 2017 |
Identification of the compound subjective rule interestingness measure for rule-based functional description of genes A Gruca, M Sikora International Conference on Artificial Intelligence: Methodology, Systems …, 2012 | 3 | 2012 |