Aleksandra Gruca
Cited by
Cited by
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
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
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
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
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
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
Image quality assessment using phase spectrum correlation
P Skurowski, A Gruca
International Conference on Computer Vision and Graphics, 80-89, 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
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
Man-Machine Interactions 3
DA Gruca, T Czachórski, S Kozielski
Springer International Publishing, 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
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
Performance Analysis of. NET Based Object–Relational Mapping Frameworks
A Gruca, P Podsiad³o
International Conference: Beyond Databases, Architectures and Structures, 40-49, 2014
Soft approach to identification of cohesive clusters in two gene representations
M Kozielski, A Gruca
Procedia Computer Science 35, 281-289, 2014
Improvement of FP-growth algorithm for mining description-oriented rules
A Gruca
Man-Machine Interactions 3, 183-192, 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
Analysis of GO composition of gene clusters by using multiattribute decision rules
A Gruca
Biocybernetics and Biomedical Engineering 28 (4), 21-31, 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
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
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
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