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 |
countfitteR: efficient selection of count distributions to assess DNA damage J Chilimoniuk, A Gosiewska, J Słowik, R Weiss, PM Deckert, S Rödiger, ... Annals of Translational Medicine 9 (7), 2021 | 5 | 2021 |
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 |
k-mer space as an efficient representation of biological sequences J Słowik Wydział Matematyki i Nauk Informacyjnych, 2021 | | 2021 |
Supplement for: countfitteR: efficient selection of count distributions to assess DNA damage J Chilimoniuk, A Gosiewska, J Słowik, R Weiss, M Deckert, S Rödiger, ... | | 2020 |