Multi-omics analyses and machine learning prediction of oviductal responses in the presence of gametes and embryos
R. M. Finnerty, D. J. Carulli, A. Hedge, Y. Wang, F. Boadu, S. Winuthayanon, J. Cheng, W. Winuthayanon
The paper uses multi-omics data and machine learning to analyze oviductal responses to gametes and embryos in mice, identifying region-specific transcriptional and proteomic changes.
bioRxiv · Jun 13, 2024Cell Biology