| Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes A Zaitsev, M Chelushkin, D Dyikanov, I Cheremushkin, B Shpak, K Nomie, ... Cancer Cell 40 (8), 879-894. e16, 2022 | 75 | 2022 |
| Procrustes is a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data N Kotlov, K Shaposhnikov, C Tazearslan, M Chasse, A Baisangurov, ... Communications Biology 7 (1), 392, 2024 | 2 | 2024 |
| Systems and methods for deconvolution of expression data A Zaitsev, M Chelushkin, I Cheremushkin, E Nuzhdina, V Zyrin, ... US Patent App. 18/082,157, 2023 | | 2023 |
| Systems and methods for deconvolution of expression data A Zaitsev, M Chelushkin, I Cheremushkin, E Nuzhdina, V Zyrin, ... US Patent 11,587,642, 2023 | | 2023 |
| Techniques for single sample expression projection to an expression cohort sequenced with another protocol N Kotlov, K Shaposhnikov, M Chelushkin, I Cheremushkin, A Baisangurov, ... US Patent App. 17/747,824, 2022 | | 2022 |
| Combinatory technologies for single sample gene expression projection onto a cohort sequenced with a different technology for personalized clinical decision-making N Kotlov, K Shaposhnikov, C Tazearslan, I Cheremushkin, M Chasse, ... Cancer Research 82 (12_Supplement), 1216-1216, 2022 | | 2022 |
