Aleksandra Gruca

发表

BioTest - Remote Platform for Hypothesis Testing and Analysis of Biomedical Data

Krzysztof Fujarewicz, Damian Borys, Andrzej Swierniak, 2019, Advances in Intelligent Systems and Computing.

SMPDV - A NEW JITTER ESTIMATOR PROPOSAL

Przemysław Skurowski, Aleksandra Gruca, 2008 .

Efficient Algorithm for Microarray Probes Re-annotation

Joanna Polanska, Andrzej Polanski, Roman Jaksik, 2011, ICCCI.

LCR-BLAST - A New Modification of BLAST to Search for Similar Low Complexity Regions in Protein Sequences

Aleksandra Gruca, Patryk Jarnot, Joanna Ziemska-Legiecka, 2019, ICMMI.

Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets

Marek Sikora, Aleksandra Gruca, A. Gruca, 2017, Journal of Biomedical Semantics.

Image Quality Assessment Using Phase Spectrum Correlation

Aleksandra Gruca, Przemyslaw Skurowski, 2008, ICCVG.

TRS LIBRARY - TOOL FOR INDUCING AND POSTPROCESSING OF DECISION RULES

Marek Sikora, Aleksandra Gruca, Robert Gruca, 2005 .

Improvement of FP-Growth Algorithm for Mining Description-Oriented Rules

Aleksandra Gruca, A. Gruca, 2013, ICMMI.

Application of Dimensionality Reduction Methods for Eye Movement Data Classification

Katarzyna Harezlak, Pawel Kasprowski, Aleksandra Gruca, 2015, ICMMI.

An Efficient Algorithm for Microarray Probes Re-annotation

Joanna Polanska, Andrzej Polanski, Roman Jaksik, 2014, Trans. Comput. Collect. Intell..

Fuel Pipeline Thermal Conductivity in Automatic Wet Stock Reconciliation Systems

Aleksandra Gruca, Pawel Foszner, Jakub Bularz, 2016, ICDM.

CCES: Cancer Clonal Evolution Simulation Program

Andrzej Polanski, Aleksandra Gruca, Krzysztof Szymiczek, 2017, ICMMI.

RULEGO Bioinformatical Internet Service - System Architecture

Marek Sikora, Andrzej Polanski, Aleksandra Gruca, 2009, CN.

Erratum: Evaluation of Semantic Term and Gene Similarity Measures

Aleksandra Gruca, Michał Kozielski, 2011, PReMI 2011.

Disentangling the complexity of low complexity proteins

Silvio C. E. Tosatto, Dariusz Plewczynski, Aleksandra Gruca, 2019, Briefings Bioinform..

Fuzzy Clustering and Gene Ontology Based Decision Rules for Identification and Description of Gene Groups

Michal Kozielski, Marek Sikora, Aleksandra Gruca, 2009, ICMMI.

Evaluation of Semantic Term and Gene Similarity Measures

Michal Kozielski, Aleksandra Gruca, 2011, PReMI.

Correlation of Genes Similarity Measures Based on GO Terms Similarity and Gene Expression Values

Michal Kozielski, Aleksandra Gruca, 2011, ICMMI.

RuleGO: a logical rules-based tool for description of gene groups by means of Gene Ontology

Marek Sikora, Andrzej Polanski, Aleksandra Gruca, 2011, Nucleic Acids Res..

Multi-omics data integration and patient survival analysis – a new approach towards treatment personalization based on leukemia case study

Marek Sikora, Aleksandra Gruca, Łukasz Wróbel, 2019 .

Performance Analysis of .NET Based Object-Relational Mapping Frameworks

Aleksandra Gruca, Przemyslaw Podsiadlo, 2014, BDAS.

Functional Interpretation of Gene Sets: Semantic-Based Clustering of Gene Ontology Terms on the BioTest Platform

Krzysztof Psiuk-Maksymowicz, Roman Jaksik, Aleksandra Gruca, 2017, ICMMI.

Classification supporting COVID-19 diagnostics based on patient survey data pdf

Marek Sikora, Joanna Polanska, Aleksandra Gruca, 2020, Applied Sciences.

Quality improvement of rule-based gene group descriptions using information about GO terms importance occurring in premises of determined rules

Marek Sikora, Aleksandra Gruca, A. Gruca, 2010, Int. J. Appl. Math. Comput. Sci..

Induction and selection of the most interesting Gene Ontology based multiattribute rules for descriptions of gene groups

Marek Sikora, Aleksandra Gruca, A. Gruca, 2011, Pattern Recognit. Lett..

Identification of the Compound Subjective Rule Interestingness Measure for Rule-Based Functional Description of Genes

Marek Sikora, Aleksandra Gruca, A. Gruca, 2012, AIMSA.

Ontological Description of Gene Groups by the Multi-Attribute Statistically Significant Logical Rules

Marek Sikora, Aleksandra Gruca, 2009 .

Soft Approach to Identification of Cohesive Clusters in Two Gene Representations

Michal Kozielski, Aleksandra Gruca, 2014, KES.

Efficient System for Clustering of Dynamic Document Database

Andrzej Polanski, Aleksandra Gruca, Pawel Foszner, 2011, CDVE.

Distant Analysis of the GENEPI-ENTB Databank - System Overview

Joanna Polanska, Aleksandra Gruca, Pawel Foszner, 2010, CN.

The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task - Insights from the IARAI Traffic4cast Competition at NeurIPS 2019

Raia Hadsell, Aleksandra Gruca, David Jonietz, 2020, NeurIPS.

Common low complexity regions for SARS-CoV-2 and human proteomes as potential multidirectional risk factor in vaccine development

Aleksandra Gruca, Patryk Jarnot, Joanna Ziemska-Legiecka, 2021, BMC Bioinform..

CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation

Aleksandra Gruca, Pedram Ghamisi, Sepp Hochreiter, 2021, CIKM.

Rule based functional description of genes – Estimation of the multicriteria rule interestingness measure by the UTA method

Marek Sikora, Aleksandra Gruca, A. Gruca, 2013 .

Proteome profiles of different types of thyroid cancers

Roman Jaksik, Aleksandra Gruca, Monika Pietrowska, 2017, Molecular and Cellular Endocrinology.