Predicting cellular responses to complex perturbations in high-throughput screens

Benutzer: Gast

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Lotfollahi, Mohammad ; Klimovskaia Susmelj, Anna ; De Donno, Carlo ; Hetzel, Leon ; Ji, Yuge ; Ibarra, Ignacio L ; Srivatsan, Sanjay R ; Naghipourfar, Mohsen ; Daza, Riza M ; Martin, Beth ; Shendure, Jay ; McFaline-Figueroa, Jose L ; Boyeau, Pierre ; Wolf, F Alexander ; Yakubova, Nafissa ; Günnemann, Stephan ; Trapnell, Cole ; Lopez-Paz, David ; Theis, Fabian J
Titel:: Predicting cellular responses to complex perturbations in high-throughput screens
Stichworte:: EMBO10 ; EMBO22 ; Article ; Articles ; generative modeling ; high-throughput screening ; machine learning ; perturbation prediction ; single-cell transcriptomics
Zeitschriftentitel:: Molecular Systems Biology
Jahr:: 2023
Band / Volume:: 19
Heft / Issue:: 6
Volltext / DOI:: doi:10.15252/msb.202211517
E-ISSN:: 1744-4292
Publikationsdatum:: 08.05.2023
BibTeX

Vorkommen: