| Genomic benchmarks: a collection of datasets for genomic sequence classification K Grešová, V Martinek, D Čechák, P Šimeček, P Alexiou BMC Genomic Data 24 (1), 25, 2023 | 13 | 2023 |
| miRBind: a Deep Learning method for miRNA binding classification E Klimentová, V Hejret, J Krčmář, K Grešová, IC Giassa, P Alexiou Genes 13 (12), 2323, 2022 | 5 | 2022 |
| Fine-Tuning Transformers For Genomic Tasks V Martinek, D Cechak, K Gresova, P Alexiou, P Simecek bioRxiv, 2022.02. 07.479412, 2022 | 3 | 2022 |
| Small RNA Targets: Advances in Prediction Tools and High-Throughput Profiling K Grešová, P Alexiou, IC Giassa Biology 11 (12), 1798, 2022 | 2 | 2022 |
| Transfer Learning Allows Accurate RBP Target Site Prediction with Limited Sample Sizes O Vaculík, E Chalupová, K Grešová, T Majtner, P Alexiou Biology 12 (10), 1276, 2023 | 1 | 2023 |
| Using Attribution Sequence Alignment to Interpret Deep Learning Models for miRNA Binding Site Prediction K Grešová, O Vaculík, P Alexiou Biology 12 (3), 369, 2023 | 1 | 2023 |
| AlphaFind: Discover structure similarity across the entire known proteome D Prochazka, T Slaninakova, J Olha, A Rosinec, K Gresova, M Janosova, ... bioRxiv, 2024.02. 15.580465, 2024 | | 2024 |
| Analysis of chimeric reads characterises the diverse targetome of AGO2-mediated regulation V Hejret, NM Varadarajan, E Klimentova, K Gresova, IC Giassa, ... Scientific Reports 13 (1), 22895, 2023 | | 2023 |
| RBP-Tar–a searchable database for experimental RBP binding sites K Gresova, T Racek, V Martinek, D Cechak, R Svobodova, P Alexiou F1000Research 12, 755, 2023 | | 2023 |
| Bacteria Classification into Taxonomic Categories Based on Properties of 16s rRNA K Grešová Brno University of Technology, 2020 | | 2020 |
| Prohledávání sémanticky anotovaných textů K Grešová Brno University of Technology, 2018 | | 2018 |
