Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pierre Boyeau"'
Autor:
Mohammad Lotfollahi, Anna Klimovskaia Susmelj, Carlo De Donno, Leon Hetzel, Yuge Ji, Ignacio L Ibarra, Sanjay R Srivatsan, Mohsen Naghipourfar, Riza M Daza, Beth Martin, Jay Shendure, Jose L McFaline‐Figueroa, Pierre Boyeau, F Alexander Wolf, Nafissa Yakubova, Stephan Günnemann, Cole Trapnell, David Lopez‐Paz, Fabian J Theis
Publikováno v:
Molecular Systems Biology, Vol 19, Iss 6, Pp n/a-n/a (2023)
Abstract Recent advances in multiplexed single‐cell transcriptomics experiments facilitate the high‐throughput study of drug and genetic perturbations. However, an exhaustive exploration of the combinatorial perturbation space is experimentally u
Externí odkaz:
https://doaj.org/article/418ea36376f0413cb228551ff196f2db
Publikováno v:
Proceedings of the National Academy of Sciences. 120
Detecting differentially expressed genes is important for characterizing subpopulations of cells. In scRNA-seq data, however, nuisance variation due to technical factors like sequencing depth and RNA capture efficiency obscures the underlying biologi
Autor:
Adam Gayoso, Romain Lopez, Galen Xing, Pierre Boyeau, Valeh Valiollah Pour Amiri, Justin Hong, Katherine Wu, Michael Jayasuriya, Edouard Mehlman, Maxime Langevin, Yining Liu, Jules Samaran, Gabriel Misrachi, Achille Nazaret, Oscar Clivio, Chenling Xu, Tal Ashuach, Mariano Gabitto, Mohammad Lotfollahi, Valentine Svensson, Eduardo da Veiga Beltrame, Vitalii Kleshchevnikov, Carlos Talavera-López, Lior Pachter, Fabian J. Theis, Aaron Streets, Michael I. Jordan, Jeffrey Regier, Nir Yosef
Publikováno v:
Nature Biotechnology. 40:163-166
Methods for analyzing single-cell data perform a core set of computational tasks. These tasks include dimensionality reduction, cell clustering, cell-state annotation, removal of unwanted variation, analysis of differential expression, identification
Phylogenetic models of molecular evolution are central to diverse problems in biology, but maximum likelihood estimation of model parameters is a computationally expensive task, in some cases prohibitively so. To address this challenge, we here intro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06b3d7caf8eda6056d9ba3c07594903d
https://doi.org/10.1101/2022.12.21.521328
https://doi.org/10.1101/2022.12.21.521328
Contemporary single-cell omics technologies have enabled complex experimental designs incorporating hundreds of samples accompanied by detailed information on sample-level conditions. Current approaches for analyzing condition-level heterogeneity in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce340c36619e6df95a2d82a1b3289186
https://doi.org/10.1101/2022.10.04.510898
https://doi.org/10.1101/2022.10.04.510898
Autor:
Romain Lopez, Baoguo Li, Hadas Keren-Shaul, Pierre Boyeau, Merav Kedmi, David Pilzer, Adam Jelinski, Ido Yofe, Eyal David, Allon Wagner, Can Ergen, Yoseph Addadi, Ofra Golani, Franca Ronchese, Michael I. Jordan, Ido Amit, Nir Yosef
Publikováno v:
Nature biotechnology, vol 40, iss 9
Most spatial transcriptomics technologies are limited by their resolution, with spot sizes larger than that of a single cell. Although joint analysis with single-cell RNA sequencing can alleviate this problem, current methods are limited to assessing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf87646b33dba3c61b2b4cc621c0b8b1
https://escholarship.org/uc/item/3nn3d8j8
https://escholarship.org/uc/item/3nn3d8j8
Autor:
Michael I. Jordan, Baoguo Li, Nir Yosef, Hadas Keren-Shaul, Kedmi M, Addad Y, Romain Lopez, Ido Amit, Pierre Boyeau, Eyal David, Allon Wagner, Adam Jelinski, David Pilzer
The function of mammalian cells is largely influenced by their tissue microenvironment. Advances in spatial transcriptomics open the way for studying these important determinants of cellular function by enabling a transcriptome-wide evaluation of gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aa902486f51a2dee447b757f9014e53
https://doi.org/10.1101/2021.05.10.443517
https://doi.org/10.1101/2021.05.10.443517