| Comprehensive analysis of cancer breakpoints reveals signatures of genetic and epigenetic contribution to cancer genome rearrangements K Cheloshkina, M Poptsova PLOS Computational Biology 17 (3), e1008749, 2021 | 9 | 2021 |
| Tissue-specific impact of stem-loops and quadruplexes on cancer breakpoints formation K Cheloshkina, M Poptsova BMC cancer 19 (1), 1-17, 2019 | 8 | 2019 |
| Gait Phase Detection for Biped Robots I Bzhikhatlov, K Cheloshkina, M Abramchuk 2019 International Russian Automation Conference (RusAutoCon), 1-6, 2019 | 2 | 2019 |
| Simple Yet Effective Named Entity Oriented Sentiment Analysis L Sanochkin, A Bolshina, K Cheloshkina, D Galimzianova, A Malafeev Proceedings of the International Conference “Dialogue 2023, 2023 | 1 | 2023 |
| Understanding cancer breakpoint determinants with omics data K Cheloshkina, M Poptsova Integr Cancer Sci Therap 7 (1), 10.15761, 2020 | 1 | 2020 |
| Ranking Weibull Survival Model: Boosting the Concordance Index of the Weibull Time-to-Event Prediction Model with Ranking Losses K Cheloshkina Russian Conference on Artificial Intelligence, 43-56, 2021 | | 2021 |
| Randomness in Cancer Breakpoint Prediction K Cheloshkina, I Bzhikhatlov, M Poptsova Journal of Computational Biology, 2021 | | 2021 |
| Cancer Breakpoint Hotspots Versus Individual Breakpoints Prediction by Machine Learning Models K Cheloshkina, I Bzhikhatlov, M Poptsova International Symposium on Bioinformatics Research and Applications, 217-228, 2020 | | 2020 |
Maria PoptsovaAssociate Professor, Faculty of Computer Science, Big Data and Information Retrieval SchoolПодтвержден адрес электронной почты в домене hse.ru
