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1.

Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences / Marika Kaden, Katrin Sophie Bohnsack, Mirko Weber, Mateusz Kudła (WIiT), Kaja Gutowska (WIiT), Jacek Błażewicz (WIiT), Thomas Villmann // Neural Computing and Applications - 2022, vol. 34, iss. 1, p. 67-78

Scientific article 100 6
2.

Virxicon: a lexicon of viral sequences / Mateusz Kudla (WIiT), Kaja Gutowska (WIiT), Jarosław Synak (WIiT), Mirko Weber, Katrin Sophie Bohnsack, Piotr Łukasiak (WIiT), Thomas Villmann, Jacek Błażewicz, Marta Szachniuk (WIiT) // Bioinformatics - 2020, vol. 36, iss. 22-23, p. 5507-5513

Scientific article 200 6,937
3.

Detecting Life Signatures with RNA Sequence Similarity Measures / Szymon Wąsik (WI), Natalia Szóstak (WI), Mateusz Kudła (WI), Michał Wachowiak (WI), Krzysztof Krawiec (WI), Jacek Błażewicz (WI) // Journal of Theoretical Biology - 2019, vol. 463, p. 110-120

Scientific article 70 2,327

1.

Searching for the Origins of Life – Detecting RNA Life Signatures Using Learning Vector Quantization / Thomas Villmann, Marika Kaden, Szymon Wąsik, Mateusz Kudła (WIiT), Kaja Gutowska (WIiT), Andrea Villmann, Jacek Błażewicz (WIiT) // W: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization : Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019 / red. Alfredo Vellido - Cham, Switzerland : Springer International Publishing, 2020 - p. 324-333

Chapter in monograph / paper 20