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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2017 1
2018 2
2019 4
2020 2
2021 2
2022 3
2023 0
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12 results
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Page 1
Machine learning for perturbational single-cell omics.
Ji Y, Lotfollahi M, Wolf FA, Theis FJ. Ji Y, et al. Among authors: lotfollahi m. Cell Syst. 2021 Jun 16;12(6):522-537. doi: 10.1016/j.cels.2021.05.016. Cell Syst. 2021. PMID: 34139164 Free article. Review.
Squidpy: a scalable framework for spatial omics analysis.
Palla G, Spitzer H, Klein M, Fischer D, Schaar AC, Kuemmerle LB, Rybakov S, Ibarra IL, Holmberg O, Virshup I, Lotfollahi M, Richter S, Theis FJ. Palla G, et al. Among authors: lotfollahi m. Nat Methods. 2022 Feb;19(2):171-178. doi: 10.1038/s41592-021-01358-2. Epub 2022 Jan 31. Nat Methods. 2022. PMID: 35102346 Free PMC article.
scGen predicts single-cell perturbation responses.
Lotfollahi M, Wolf FA, Theis FJ. Lotfollahi M, et al. Nat Methods. 2019 Aug;16(8):715-721. doi: 10.1038/s41592-019-0494-8. Epub 2019 Jul 29. Nat Methods. 2019. PMID: 31363220
Mapping single-cell data to reference atlases by transfer learning.
Lotfollahi M, Naghipourfar M, Luecken MD, Khajavi M, Büttner M, Wagenstetter M, Avsec Ž, Gayoso A, Yosef N, Interlandi M, Rybakov S, Misharin AV, Theis FJ. Lotfollahi M, et al. Nat Biotechnol. 2022 Jan;40(1):121-130. doi: 10.1038/s41587-021-01001-7. Epub 2021 Aug 30. Nat Biotechnol. 2022. PMID: 34462589 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: lotfollahi m. Nat Biotechnol. 2022 Feb;40(2):163-166. doi: 10.1038/s41587-021-01206-w. Nat Biotechnol. 2022. PMID: 35132262 No abstract available.
12 results