| Proteomic screening for prediction and design of antimicrobial peptides with AmpGram M Burdukiewicz, K Sidorczuk, D Rafacz, F Pietluch, J Chilimoniuk, ... International journal of molecular sciences 21 (12), 4310, 2020 | 75 | 2020 |
| Benchmarks in antimicrobial peptide prediction are biased due to the selection of negative data K Sidorczuk, P Gagat, F Pietluch, J Kała, D Rafacz, L Bąkała, J Słowik, ... Briefings in Bioinformatics 23 (5), bbac343, 2022 | 44 | 2022 |
| Cancergram: An effective classifier for differentiating anticancer from antimicrobial peptides M Burdukiewicz, K Sidorczuk, D Rafacz, F Pietluch, M Bąkała, J Słowik, ... Pharmaceutics 12 (11), 1045, 2020 | 23 | 2020 |
| Amylograph: a comprehensive database of amyloid–amyloid interactions M Burdukiewicz, D Rafacz, A Barbach, K Hubicka, L Bąkała, A Lassota, ... Nucleic Acids Research 51 (D1), D352-D357, 2023 | 12 | 2023 |
| Conference report: Why r? 2019 M Burdukiewicz, F Pietluch, J Chilimoniuk, K Sidorczuk, D Rafacz, ... The R Journal 12 (1), 484-494, 2020 | 3 | 2020 |
| The impact of negative data sampling on antimicrobial peptide prediction K Sidorczuk, P Gagat, F Pietluch, J Kała, D Rafacz, L Bąkała, J Słowik, ... bioRxiv, 2022.05. 30.493946, 2022 | 1 | 2022 |
| PCRedux: A Quantitative PCR Machine Learning Toolkit M Burdukiewicz, AN Spiess, D Rafacz, K Blagodatskikh, S Rödiger Journal of Open Source Software 7 (76), 4407, 2022 | | 2022 |
| PCRedux: A Data Mining and Machine Learning Toolkit for qPCR Experiments M Burdukiewicz, AN Spiess, D Rafacz, K Blagodatskikh, J Huggett, ... bioRxiv, 2021.03. 31.437921, 2021 | | 2021 |
| tidysq: effective processing of biological sequences in R M Bąkała, DP Rafacz Wydział Matematyki i Nauk Informacyjnych, 2021 | | 2021 |
