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Jadwiga Słowik
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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
442022
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
232020
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
52021
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
12022
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
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