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2020 – today
- 2024
[j17]Tomasz Strzoda, Lourdes Cruz-Garcia, Mustafa Najim, Christophe Badie, Joanna Polanska:
A mapping-free natural language processing-based technique for sequence search in nanopore long-reads. BMC Bioinform. 25(1): 354 (2024)- [i7]Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein:
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. CoRR abs/2403.07434 (2024) - 2023
- [j16]Marek Socha
, Wojciech Prazuch, Aleksandra Suwalska, Pawel Foszner, Joanna Tobiasz, Jerzy Jaroszewicz, Katarzyna Gruszczynska, Magdalena Sliwinska, Mateusz Nowak, Barbara Gizycka, Gabriela Zapolska, Tadeusz Popiela, Grzegorz Przybylski, Piotr Fiedor, Malgorzata Pawlowska, Robert Flisiak, Krzysztof Simon, Jerzy Walecki, Andrzej Cieszanowski, Edyta Szurowska, Michal Marczyk, Joanna Polanska:
Pathological changes or technical artefacts? The problem of the heterogenous databases in COVID-19 CXR image analysis. Comput. Methods Programs Biomed. 240: 107684 (2023) - [j15]Aleksandra Suwalska, Joanna Siuda, Szymon Kocot, Weronika Zmuda, Monika Rudzinska-Bar, Joanna Polanska:
Activation maps of convolutional neural networks as a tool for brain degeneration tracking in early diagnosis of dementia in Parkinson's disease based on magnetic resonance imaging. Signal Image Video Process. 17(8): 4115-4121 (2023) - [c45]Kamila Szumala, Joanna Polanska, Joanna Zyla:
Unsupervised Investigation of Information Captured in Pathway Activity Score in scRNA-Seq Analysis. IWBBIO (2) 2023: 180-192 - [c44]Katarzyna Sieradzka, Joanna Polanska:
Feature Selection Methods Comparison: Logistic Regression-Based Algorithm and Neural Network Tools. PACBB 2023: 34-43 - [i6]Anna Glodek, Joanna Polanska, Marta Gawin:
Isotopic envelope identification by analysis of the spatial distribution of components in MALDI-MSI data. CoRR abs/2302.06051 (2023) - [i5]Wojciech Prazuch, Marek Socha, Anna Mrukwa, Aleksandra Suwalska, Agata Durawa, Malgorzata Jelitto-Górska, Katarzyna Dziadziuszko, Edyta Szurowska, Pawel Bozek, Michal Marczyk, Witold Rzyman, Joanna Polanska:
BRONCO: Automated modelling of the bronchovascular bundle using the Computed Tomography Images. CoRR abs/2309.09410 (2023) - [i4]Joanna Zyla, Michal Marczyk, Wojciech Prazuch, Marek Socha, Aleksandra Suwalska, Agata Durawa, Malgorzata Jelitto-Górska, Katarzyna Dziadziuszko, Edyta Szurowska, Witold Rzyman, Piotr Widlak, Joanna Polanska:
Combining low-dose CT-based radiomics and metabolomics for early lung cancer screening support. CoRR abs/2311.12810 (2023) - 2022
- [j14]Grzegorz Mrukwa, Joanna Polanska:
DiviK: divisive intelligent K-means for hands-free unsupervised clustering in big biological data. BMC Bioinform. 23(1): 538 (2022) - [j13]Aleksandra Suwalska, Yingzhe Wang, Ziyu Yuan, Yanfeng Jiang, Dongliang Zhu, Jinhua Chen, Mei Cui, Xingdong Chen, Chen Suo, Joanna Polanska:
CMB-HUNT: Automatic detection of cerebral microbleeds using a deep neural network. Comput. Biol. Medicine 151(Part): 106233 (2022) - [c43]Joanna Tobiasz, Joanna Polanska:
How to Compare Various Clustering Outcomes? Metrices to Investigate Breast Cancer Patient Subpopulations Based on Proteomic Profiles. IWBBIO (2) 2022: 309-318 - [c42]Wojciech Prazuch, Malgorzata Jelitto-Górska, Agata Durawa, Katarzyna Dziadziuszko, Joanna Polanska:
Radiomic-Based Lung Nodule Classification in Low-Dose Computed Tomography. IWBBIO (1) 2022: 357-363 - [c41]Aleksandra Suwalska, Nelita du Plessis-Burger, Gian van der Spuy, Joanna Polanska:
Comparison of Batch Effect Removal Methods for High Dimensional Mass Cytometry Data. IWBBIO (2) 2022: 399-410 - [c40]Justyna Mika, Serge M. Candéias, Christophe Badie, Joanna Polanska:
Can We Detect T Cell Receptors from Long-Read RNA-Seq Data? IWBBIO (2) 2022: 450-463 - [i3]Wojciech Prazuch, Aleksandra Suwalska, Marek Socha, Joanna Tobiasz, Pawel Foszner, Jerzy Jaroszewicz, Katarzyna Gruszczynska, Magdalena Sliwinska, Jerzy Walecki, Tadeusz Popiela, Grzegorz Przybylski, Andrzej Cieszanowski, Mateusz Nowak, Malgorzata Pawlowska, Robert Flisiak, Krzysztof Simon, Gabriela Zapolska, Barbara Gizycka, Edyta Szurowska, Michal Marczyk, Joanna Polanska:
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis. CoRR abs/2210.05440 (2022) - [i2]Aleksandra Suwalska, Joanna Tobiasz, Wojciech Prazuch, Marek Socha, Pawel Foszner, Jerzy Jaroszewicz, Katarzyna Gruszczynska, Magdalena Sliwinska, Jerzy Walecki, Tadeusz Popiela, Grzegorz Przybylski, Mateusz Nowak, Piotr Fiedor, Malgorzata Pawlowska, Robert Flisiak, Krzysztof Simon, Gabriela Zapolska, Barbara Gizycka, Edyta Szurowska, Michal Marczyk, Andrzej Cieszanowski, Joanna Polanska:
POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020-2021). CoRR abs/2211.16359 (2022) - 2021
- [c39]Aleksandra Suwalska, Joanna Polanska:
Preliminary study for a fully automated pre-gating method for high-dimensional mass cytometry data. BIBE 2021: 1-5 - [c38]Agnieszka Cecotka, Lukasz Krol, Grainne O'Brien, Christophe Badie, Joanna Polanska:
May Gender Have an Impact on Methylation Profile and Survival Prognosis in Acute Myeloid Leukemia? PACBB 2021: 126-135 - 2020
- [j12]Michal Marczyk, Roman Jaksik, Andrzej Polanski, Joanna Polanska:
GaMRed - Adaptive Filtering of High-Throughput Biological Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 149-157 (2020) - [c37]Joanna Zyla, Kinga Leszczorz, Joanna Polanska:
Robustness of Pathway Enrichment Analysis to Transcriptome-Wide Gene Expression Platform. PACBB 2020: 176-185 - [i1]Joanna Henzel, Joanna Tobiasz, Michal Kozielski, Malgorzata Bach, Pawel Foszner, Aleksandra Gruca, Mateusz Kania, Justyna Mika, Anna Papiez, Aleksandra Werner, Joanna Zyla, Jerzy Jaroszewicz, Joanna Polanska, Marek Sikora:
Classification supporting COVID-19 diagnostics based on patient survey data. CoRR abs/2011.12247 (2020)
2010 – 2019
- 2019
- [j11]Anna Papiez, Christophe Badie, Joanna Polanska:
Machine learning techniques combined with dose profiles indicate radiation response biomarkers. Int. J. Appl. Math. Comput. Sci. 29(1): 169-178 (2019) - [j10]Anna Papiez, Michal Marczyk, Joanna Polanska, Andrzej Polanski:
BatchI: Batch effect Identification in high-throughput screening data using a dynamic programming algorithm. Bioinform. 35(11): 1885-1892 (2019) - [j9]Joanna Zyla, Michal Marczyk, Teresa Domaszewska, Stefan H. E. Kaufmann, Joanna Polanska, January 3rd Weiner:
Gene set enrichment for reproducible science: comparison of CERNO and eight other algorithms. Bioinform. 35(24): 5146-5154 (2019) - [c36]Kinga Leszczorz, Omid Azimzadeh, Soile Tapio, Michael Atkinson, Joanna Polanska:
Mathematical Modelling and Effect Size Analysis in Support of Searching for the Proteomic Signature of Radiotherapy Toxicity. BIBE 2019: 244-249 - [c35]Joanna Tobiasz, Christos Hatzis, Joanna Polanska:
Breast Cancer Heterogeneity Investigation: Multiple k-Means Clustering Approach. BIBE 2019: 410-414 - 2018
- [c34]Joanna Tobiasz, Najla Al-Harbi, Sara Bin Judia, Salma Majid, Ghazi Alsbeih, Joanna Polanska:
Are Radiosensitive and Regular Response Cells Homogeneous in Their Correlations Between Copy Number State and Surviving Fraction After Irradiation? IWBBIO (1) 2018: 197-208 - [c33]Anna Papiez, Marcin Skrzypski, Amelia Szymanowska-Narloch, Ewa Jassem, Agnieszka Maciejewska, Ryszard Pawlowski, Rafal Dziadziuszko, Jacek Jassem, Witold Rzyman, Joanna Polanska:
Can an Integrative SNP Approach Substitute Standard Identification in Comprehensive Case/Control Analyses? PACBB 2018: 123-130 - 2017
- [j8]Joanna Zyla, Michal Marczyk, January 3rd Weiner, Joanna Polanska:
Ranking metrics in gene set enrichment analysis: do they matter? BMC Bioinform. 18(1): 256:1-256:12 (2017) - [j7]Franciszek Binczyk, Bram Stjelties, Christian Weber, Michael Götz, Klaus H. Maier-Hein, Hans-Peter Meinzer, Barbara Bobek-Billewicz, Rafal Tarnawski, Joanna Polanska:
MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps. Inf. Sci. 384: 235-248 (2017) - [c32]Michal Marczyk, Joanna Polanska, Andrzej Polanski:
Improving peak detection by Gaussian mixture modeling of mass spectral signal. ICFSP 2017: 39-43 - [c31]Anna Krawczyk, Joanna Polanska:
Comparative Analysis of MicroRNA-Target Gene Interaction Prediction Algorithms Based on Integrated P-Value Calculation. ICMMI 2017: 137-143 - [c30]Lukasz Krol, Joanna Polanska:
Multidimensional Feature Selection and Interaction Mining with Decision Tree Based Ensemble Methods. PACBB 2017: 118-125 - [c29]Joanna Zyla, Michal Marczyk, Joanna Polanska:
Reproducibility of Finding Enriched Gene Sets in Biological Data Analysis. PACBB 2017: 146-154 - [c28]Agnieszka Cecotka, Joanna Polanska:
Novel Method of Identifying DNA Methylation Fingerprint of Acute Myeloid Leukaemia. PACBB 2017: 189-196 - 2016
- [j6]Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein:
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. IEEE Trans. Medical Imaging 35(1): 184-196 (2016) - [c27]Anna Krawczyk, Joanna Polanska:
Comparative Analysis of microRNA-Target Gene Interaction Prediction Algorithms - The Attempt to Compare the Results of Three Algorithms. IWBBIO 2016: 103-112 - [c26]Grzegorz Mrukwa, Grzegorz Drazek, Monika Pietrowska, Piotr Widlak, Joanna Polanska:
A Novel Divisive iK-Means Algorithm with Region-Driven Feature Selection as a Tool for Automated Detection of Tumour Heterogeneity in MALDI IMS Experiments. IWBBIO 2016: 113-124 - [c25]Joanna Zyla, Christophe Badie, Ghazi Alsbeih, Joanna Polanska:
Multigene P-value Integration Based on SNPs Investigation for Seeking Radiosensitivity Signatures. IWBBIO 2016: 125-134 - [c24]Joanna Zyla, Michal Marczyk, Joanna Polanska:
Sensitivity, Specificity and Prioritization of Gene Set Analysis When Applying Different Ranking Metrics. PACBB 2016: 61-69 - [c23]Wojciech Labaj, Anna Papiez, Joanna Polanska, Andrzej Polanski:
Deep Data Analysis of a Large Microarray Collection for Leukemia Biomarker Identification. PACBB 2016: 71-79 - 2015
- [c22]Christian Weber, Michael Götz, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
Überwachtes Lernen zur Prädiktion von Tumorwachstum. Bildverarbeitung für die Medizin 2015: 473-478 - [c21]Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis. Bildverarbeitung für die Medizin 2015: 486-491 - [c20]Michal Staniszewski, Franciszek Binczyk, Agnieszka Skorupa, Lukasz Boguszewicz, Maria Sokol, Joanna Polanska, Andrzej Polanski:
Comparison of Black Box Implementations of Two Algorithms of Processing of NMR Spectra, Gaussian Mixture Model and Singular Value Decomposition. BIOSIGNALS 2015: 57-65 - [c19]Marzena Dolbniak, Joanna Zyla, Sylwia Kabacik, Grainne Manning, Christophe Badie, Ghazi Alsbeih, Joanna Polanska:
Is the Identification of SNP-miRNA Interactions Supporting the Prediction of Human Lymphocyte Transcriptional Radiation Responses?. BIOINFORMATICS 2015: 243-250 - [c18]Michal Marczyk, Grzegorz Drazek, Monika Pietrowska, Piotr Widlak, Joanna Polanska, Andrzej Polanski:
Modeling of Imaging Mass Spectrometry Data and Testing by Permutation for Biomarkers Discovery in Tissues. ICCS 2015: 693-702 - [c17]Franciszek Binczyk, Michal Marczyk, Joanna Polanska:
Mixture Model Based Efficient Method for Magnetic Resonance Spectra Quantification. IWBBIO (2) 2015: 406-417 - [c16]Anna Papiez, Sylwia Kabacik, Christophe Badie, Simon Bouffler, Joanna Polanska:
Statistical Integration of p-values for Enhancing Discovery of Radiotoxicity Gene Signatures. IWBBIO (1) 2015: 503-513 - 2014
- [j5]Roman Jaksik, Michal Marczyk, Joanna Polanska, Joanna Rzeszowska-Wolny:
Sources of High Variance between Probe Signals in Affymetrix Short Oligonucleotide Microarrays. Sensors 14(1): 532-548 (2014) - [j4]Pawel Foszner, Aleksandra Gruca, Andrzej Polanski, Michal Marczyk, Roman Jaksik, Joanna Polanska:
An Efficient Algorithm for Microarray Probes Re-annotation. Trans. Comput. Collect. Intell. 13: 201-218 (2014) - [c15]Michal Marczyk, Joanna Polanska:
Methods for Quality Control of Low-resolution MALDI-ToF Spectra. BIOINFORMATICS 2014: 172-177 - [c14]Joanna Zyla, Christophe Badie, Ghazi Alsbeih, Joanna Polanska:
Modelling of Genetic Interactions in GWAS Reveals More Complex Relations between Genotype and Phenotype. BIOINFORMATICS 2014: 204-208 - [c13]Anna Papiez, Paul Finnon, Christophe Badie, Simon Bouffler, Joanna Polanska:
Integrating Expression Data from Different Microarray Platforms in Search of Biomarkers of Radiosensitivity. IWBBIO 2014: 484-493 - [c12]Michal Marczyk, Lukasz Krol, Joanna Polanska:
Automatic detection of outlying microarrays using multi-array quality metrics. IWBBIO 2014: 738-746 - [c11]Franciszek Binczyk, Rafal Tarnawski, Joanna Polanska:
Improvement in the accuracy of Nuclear Magnetic Resonance spectrum analysis by automatic tuning of phase correction algorithms. IWBBIO 2014: 778-788 - [c10]Lukasz Krol, Ghazi Alsbeih, Christophe Badie, Joanna Polanska:
Impact of missing genotype imputation on the power of Genome Wide Association Studies. IWBBIO 2014: 1603-1614 - 2013
- [j3]Michal Marczyk, Roman Jaksik, Andrzej Polanski, Joanna Polanska:
Adaptive filtering of microarray gene expression data based on Gaussian mixture decomposition. BMC Bioinform. 14: 101 (2013) - [c9]Michal Marczyk, Joanna Polanska, Andrzej Polanski:
Comparison of Algorithms for Profile-Based Alignment of Low Resolution MALDI-ToF Spectra. ICMMI 2013: 193-201 - [c8]Joanna Zyla, Paul Finnon, Robert Bulman, Simon Bouffler, Christophe Badie, Joanna Polanska:
Investigation for Genetic Signature of Radiosensitivity - Data Analysis. ICMMI 2013: 219-227 - [c7]Anna Cichonska, Roman Jaksik, Joanna Polanska, Wieslawa Widlak:
Comparative analysis of the annotation systems of Mus musculus high density expression microarray. IWBBIO 2013: 41-48 - [c6]Joanna Zyla, Joanna Polanska, Paul Finnon, Robert Bulman, Simon Bouffler, Christophe Badie:
Seeking for Genetic Signature of Radiosensitivity - Methods for Data Analysis. IWBBIO 2013: 79-86 - [c5]Joanna Polanska, Franciszek Binczyk, Anna Hebda, Barbara Bobek-Billewicz:
Gaussian mixture model based analysis of apparent diffusion coefficient maps for differentiation between malignant and benign brain tumours - preliminary results. IWBBIO 2013: 647-648 - 2012
- [j2]Joanna Polanska, Malgorzata Plechawska, Monika Pietrowska, Lukasz Marczak:
Gaussian mixture decomposition in the analysis of MALDI-TOF spectra. Expert Syst. J. Knowl. Eng. 29(3): 216-231 (2012) - 2011
- [c4]Pawel Foszner, Aleksandra Gruca, Andrzej Polanski, Michal Marczyk, Roman Jaksik, Joanna Polanska:
Efficient Algorithm for Microarray Probes Re-annotation. ICCCI (2) 2011: 281-289 - 2010
- [c3]Pawel Foszner, Aleksandra Gruca, Joanna Polanska:
Distant Analysis of the GENEPI-ENTB Databank - System Overview. CN 2010: 245-252
2000 – 2009
- 2009
- [c2]Malgorzata Plechawska, Joanna Polanska, Andrzej Polanski, Monika Pietrowska, Rafal Tarnawski, Piotr Widlak, Maciej Stobiecki, Lukasz Marczak:
Analyze of Maldi-TOF Proteomic Spectra with Usage of Mixture of Gaussian Distributions. ICMMI 2009: 113-120 - [c1]Malgorzata Plechawska, Joanna Polanska:
Simulation of the Usage of Gaussian Mixture Models for the Purpose of Modelling Virtual Mass Spectrometry Data. MIE 2009: 804-808 - 2004
- [j1]Zbigniew Starosolski, Joanna Polanska, Mark Groen, Andrzej Polanski:
Estimating Regions of Absolute Stability with the Use of Piecewise Linear Lyapunov Functions. Eur. J. Control 10(6): 547-556 (2004)
Coauthor Index
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