Neural Network-Assisted Humanization of COVID-19 Hamster scRNAseq Data Reveals Matching Severity States in Human Disease
V. D. Friedrich, P. Pennitz, E. Wyler, J. M. Adler, D. Postmus, L. G. T. Alves, J. Prigann, F. Pott, D. Vladimirova, T. Hoefler, C. Goekeri, M. Landthaler, C. Goffinet, A.-E. Saliba, M. Scholz, , G. Nouailles
This paper uses neural networks to match disease states between human and hamster COVID-19 scRNAseq data, finding similar cellular responses in specific cell types across species.
bioRxiv · Jan 11, 2024 · PreprintImmunology