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2018 | 1 |
2019 | 1 |
2022 | 2 |
2024 | 2 |
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Page 1
Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes.
Cancer Cell. 2022 Aug 8;40(8):879-894.e16. doi: 10.1016/j.ccell.2022.07.006.
Cancer Cell. 2022.
PMID: 35944503
Free article.
Multi-omic profiling of follicular lymphoma reveals changes in tissue architecture and enhanced stromal remodeling in high-risk patients.
Radtke AJ, Postovalova E, Varlamova A, Bagaev A, Sorokina M, Kudryashova O, Meerson M, Polyakova M, Galkin I, Svekolkin V, Isaev S, Wiebe D, Sharun A, Sarachakov A, Perelman G, Lozinsky Y, Yaniv Z, Lowekamp BC, Speranza E, Yao L, Pittaluga S, Shaffer AL 3rd, Jonigk D, Phelan JD, Davies-Hill T, Huang DW, Ovcharov P, Nomie K, Nuzhdina E, Kotlov N, Ataullakhanov R, Fowler N, Kelly M, Muppidi J, Davis JL, Hernandez JM, Wilson WH, Jaffe ES, Staudt LM, Roschewski M, Germain RN.
Radtke AJ, et al. Among authors: lozinsky y.
Cancer Cell. 2024 Mar 11;42(3):444-463.e10. doi: 10.1016/j.ccell.2024.02.001. Epub 2024 Feb 29.
Cancer Cell. 2024.
PMID: 38428410
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Multiregional single-cell proteogenomic analysis of ccRCC reveals cytokine drivers of intratumor spatial heterogeneity.
Miheecheva N, Postovalova E, Lyu Y, Ramachandran A, Bagaev A, Svekolkin V, Galkin I, Zyrin V, Maximov V, Lozinsky Y, Isaev S, Ovcharov P, Shamsutdinova D, Cheng EH, Nomie K, Brown JH, Tsiper M, Ataullakhanov R, Fowler N, Hsieh JJ.
Miheecheva N, et al. Among authors: lozinsky y.
Cell Rep. 2022 Aug 16;40(7):111180. doi: 10.1016/j.celrep.2022.111180.
Cell Rep. 2022.
PMID: 35977503
Free article.
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Joint analysis of heterogeneous single-cell RNA-seq dataset collections.
Barkas N, Petukhov V, Nikolaeva D, Lozinsky Y, Demharter S, Khodosevich K, Kharchenko PV.
Barkas N, et al. Among authors: lozinsky y.
Nat Methods. 2019 Aug;16(8):695-698. doi: 10.1038/s41592-019-0466-z. Epub 2019 Jul 15.
Nat Methods. 2019.
PMID: 31308548
Free PMC article.
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Genome rearrangements and phylogeny reconstruction in Yersinia pestis.
Bochkareva OO, Dranenko NO, Ocheredko ES, Kanevsky GM, Lozinsky YN, Khalaycheva VA, Artamonova II, Gelfand MS.
Bochkareva OO, et al. Among authors: lozinsky yn.
PeerJ. 2018 Mar 27;6:e4545. doi: 10.7717/peerj.4545. eCollection 2018.
PeerJ. 2018.
PMID: 29607260
Free PMC article.
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Procrustes is a machine-learning approach that removes cross-platform batch effects from clinical RNA sequencing data.
Kotlov N, Shaposhnikov K, Tazearslan C, Chasse M, Baisangurov A, Podsvirova S, Fernandez D, Abdou M, Kaneunyenye L, Morgan K, Cheremushkin I, Zemskiy P, Chelushkin M, Sorokina M, Belova E, Khorkova S, Lozinsky Y, Nuzhdina K, Vasileva E, Kravchenko D, Suryamohan K, Nomie K, Curran J, Fowler N, Bagaev A.
Kotlov N, et al. Among authors: lozinsky y.
Commun Biol. 2024 Mar 30;7(1):392. doi: 10.1038/s42003-024-06020-z.
Commun Biol. 2024.
PMID: 38555407
Free PMC article.
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