Quantitative Learning of Cellular Features From Single-cell Transcriptomics Data Facilitates Effective Drug Repurposing
J. Zhong, J. Yang, Y. Song, Z. Zhang, C. Wang, R. Tong, C. Li, N. Yu, L. Zou, S. Liu, J. Pu, W. Lin
This study introduces SuperFeat, a framework that uses single-cell transcriptomics data to identify drug targets by modeling adverse cellular states, validated in vitro and in vivo.
bioRxiv · Sep 16, 2023 · PreprintCell Biology