Folgen
Yuge Ji
Yuge Ji
Zugehörigkeit unbekannt
Bestätigte E-Mail-Adresse bei helmholtz-muenchen.de
Titel
Zitiert von
Zitiert von
Jahr
An integrated cell atlas of the lung in health and disease
L Sikkema, C Ramírez-Suástegui, DC Strobl, TE Gillett, L Zappia, ...
Nature medicine 29 (6), 1563-1577, 2023
3712023
Predicting cellular responses to complex perturbations in high‐throughput screens
M Lotfollahi, A Klimovskaia Susmelj, C De Donno, L Hetzel, Y Ji, IL Ibarra, ...
Molecular systems biology 19 (6), e11517, 2023
1472023
Machine learning for perturbational single-cell omics
Y Ji, M Lotfollahi, FA Wolf, FJ Theis
Cell Systems 12 (6), 522-537, 2021
1052021
Compositional perturbation autoencoder for single-cell response modeling
M Lotfollahi, AK Susmelj, C De Donno, Y Ji, IL Ibarra, FA Wolf, ...
BioRxiv, 2021
272021
Machine learning for perturbational single-cell omics. Cell Syst. 12, 522–537
Y Ji, M Lotfollahi, FA Wolf, FJ Theis
102021
Pertpy: an end-to-end framework for perturbation analysis
L Heumos, Y Ji, L May, T Green, X Zhang, X Wu, J Ostner, S Peidli, ...
bioRxiv, 2024.08. 04.606516, 2024
52024
Optimal distance metrics for single-cell RNA-seq populations
Y Ji, TD Green, S Peidli, M Bahrami, M Liu, L Zappia, K Hrovatin, ...
bioRxiv, 2023.12. 26.572833, 2023
42023
Learning Interpretable Cellular Responses to Complex Perturbations in High-Throughput Screens. BioRxiv 2021
M Lotfollahi, AK Susmelj, C De Donno, Y Ji, IL Ibarra, FA Wolf, ...
https://www. biorxiv. org/content/10.110 1 (2021.04), 14.439903, 0
4
Scalable and universal prediction of cellular phenotypes
Y Ji, A Tejada-Lapuerta, NA Schmacke, Z Zheng, X Zhang, S Khan, ...
bioRxiv, 2024.08. 12.607533, 2024
22024
Methods and compositions for modulating goblet cells and for muco-obstructive diseases
MH Stewart, A Chalkiadaki, JI Yuge, FA Wolf, NMC Plugis, P Hosseini, ...
US Patent App. 18/687,654, 2024
2024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–10