| 1 | Stakauskas, Brendonas. Comparison of phylogenetic inference methods accuracy using SARS-CoV-2 data // 20th IEEE conference on computational intelligence in bioinformatics and computational biology, 29-31 August, 2023, Eindhoven, The Netherlands. Eindhoven : IEEE. 2023, p. [1-2]. Prieiga per internetą: <https://cmte.ieee.org/cis-bbtc/wp-content/uploads/sites/172/IEEE_CIBCB_2023_paper_7892.pdf>. |
| 2 | Stakauskas, Brendonas; Marcinkevičius, Virginijus. Dimensionality reduction of protein language model embeddings for viral clustering // Artificial Neural Networks and Machine Learning – ICANN 2025. 34th international conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025 : proceedings, Part III / Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor Jirsa, Yoshua Bengio (eds.). Cham : Springer, 2026. ISBN 9783032045485. eISBN 9783032045492. p. 359-360. (Lecture Notes in Computer Science, ISSN 0302-9743, eISSN 1611-3349 ; vol. 16070). DOI: 10.1007/978-3-032-04549-2. |
| 3 | Stakauskas, Brendonas; Marcinkevičius, Virginijus. Visualising SARS-CoV-2 phylogenetic relationships using protein language models // DAMSS: 15th conference on data analysis methods for software systems, Druskininkai, Lithuania, November 28-30, 2024. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711125. p. 104-105. (Vilnius University Proceedings, eISSN 2669-0233 ; vol. 52). DOI: 10.15388/DAMSS.15.2024. |