Polish Bioinformatics Society

List of Posters
1. Aleksandra Bliska – SORL1 Shapes the Immune Microenvironment in Glioblastoma: Insights from Single-Cell RNA-seq and the MapGAMs Pipeline
2. Jarosław Chilimoniuk – Aggregating amyloid resources: comprehensive list of amyloid-like aggregation databases
3. Julia Cieszko – Analysis of bacterial amyloids potentially involved in neurodegeneration using updated AmyLoad database
4. Marcin Grynberg – Functions of Low Complexity Regions in protein families 
5. Adam Jankowiak – A Machine Learning-Based Liver Health Calculator
6. Tomasz Kawalec – How do feature importances computed by SHAP relate to their influence on model’s prediction quality?
7. Justyna Król – Fast and scalable LC-MS feature alignment using the truncated Wasserstein distance
8. Wojciech Lesiński – Machine learning helps to understand molecular mechanisms of carotid plaques
9. Magdalena Machnicka – Evaluating machine learning approaches for classifying fMRI-based functional connectivity matrices
10. Igor Marchlewski – Exploring intraprotein transport pathways with adaptive sampling molecular dynamics
11. Julia Merta – Comparison of structural variants calling algorithms in terms of concordance and biological significance
12. Krzysztof Mnich – An information measure of synergy 
13. Mikołaj Młynarczyk – Refining RNA Models: A Protocol for Resolving Structural Entanglements
14. Marcel Ochocki – Assessing the Prognostic Accuracy of CancerMath and PREDICT 3.1 in U.S. Non-Metastatic Breast Cancer
15. Iga Ostrowska – Data-aware metacaller for improved gene fusion detection in RNA-seq
16. Małgorzata Perycz – Identification of DNA-binding proteins within selected regulatory sequences bound by the REST transcription factor in glioma cells
17. Joanna Pokora – MetaboCrates: An open-source pipeline for quality-aware analysis of targeted metabolomics data
18. Aneta Polewko-Klim – Robust machine learning protocol to unravel the mysteries of posttransplant lymphoproliferative disorder
19. Agnieszka Prudło – Interactions of mutational signatures and tumor microenvironment in cancer
20. Filip Schymik – Expanding UniProt3D functional annotation with deepFRI
21. Mariia Solovianova (Rutkowska) – Development of AmyloGraph Antibody database
22. Anna Szymczak – The estimation of the risk of liver steatosis and fibrosis using machine learning approach.
23. Karolina Widzisz – Ensemble clustering of gene expression patterns: searching for profiles in scRNA-seq data
24. Marcin Wierzbiński – Transfer Learning from TCGA to DepMap for Predicting Drug Response
25. Jakub Wojciechowski – Spurious proteins and how to find them?
26. Daniel Zalewski – Extending COMA for the Detection of Complex Structural Variants in Optical Mapping Data
27. Joanna Żyła – FunCellA: An R Package for single-cell pathway enrichment analysis and clustering