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Predicting cellular responses to complex perturbations in high-throughput screens.
Lotfollahi M, Klimovskaia Susmelj A, De Donno C, Hetzel L, Ji Y, Ibarra IL, Srivatsan SR, Naghipourfar M, Daza RM, Martin B, Shendure J, McFaline-Figueroa JL, Boyeau P, Wolf FA, Yakubova N, Günnemann S, Trapnell C, Lopez-Paz D, Theis FJ. Lotfollahi M, et al. Among authors: boyeau p. Mol Syst Biol. 2023 Jun 12;19(6):e11517. doi: 10.15252/msb.202211517. Epub 2023 May 8. Mol Syst Biol. 2023. PMID: 37154091 Free PMC article.
The scverse project provides a computational ecosystem for single-cell omics data analysis.
Virshup I, Bredikhin D, Heumos L, Palla G, Sturm G, Gayoso A, Kats I, Koutrouli M; Scverse Community; Berger B, Pe'er D, Regev A, Teichmann SA, Finotello F, Wolf FA, Yosef N, Stegle O, Theis FJ. Virshup I, et al. Nat Biotechnol. 2023 May;41(5):604-606. doi: 10.1038/s41587-023-01733-8. Nat Biotechnol. 2023. PMID: 37037904 No abstract available.
DestVI identifies continuums of cell types in spatial transcriptomics data.
Lopez R, Li B, Keren-Shaul H, Boyeau P, Kedmi M, Pilzer D, Jelinski A, Yofe I, David E, Wagner A, Ergen C, Addadi Y, Golani O, Ronchese F, Jordan MI, Amit I, Yosef N. Lopez R, et al. Among authors: boyeau p. Nat Biotechnol. 2022 Sep;40(9):1360-1369. doi: 10.1038/s41587-022-01272-8. Epub 2022 Apr 21. Nat Biotechnol. 2022. PMID: 35449415 Free PMC article.
A Python library for probabilistic analysis of single-cell omics data.
Gayoso A, Lopez R, Xing G, Boyeau P, Valiollah Pour Amiri V, Hong J, Wu K, Jayasuriya M, Mehlman E, Langevin M, Liu Y, Samaran J, Misrachi G, Nazaret A, Clivio O, Xu C, Ashuach T, Gabitto M, Lotfollahi M, Svensson V, da Veiga Beltrame E, Kleshchevnikov V, Talavera-López C, Pachter L, Theis FJ, Streets A, Jordan MI, Regier J, Yosef N. Gayoso A, et al. Among authors: boyeau p. Nat Biotechnol. 2022 Feb;40(2):163-166. doi: 10.1038/s41587-021-01206-w. Nat Biotechnol. 2022. PMID: 35132262 No abstract available.