Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.


The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

My NCBI Filters
Results by year

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
Text availability
Article attribute
Article type
Publication date

Search Results

12 results
Results by year
Filters applied: . Clear all
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