We developed a computational method to reveal the drug-induced single-cell transcriptomic landscape. This algorithm enabled us to impute unknown drug-induced single-cell gene expression profiles using tensor imputation, predict cell type-specific drug efficacy, detect cell-type-specific marker genes, and identify the trajectories of regulated biological pathways while considering intercellular heterogeneity.
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References
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This is a summary of: Iwata, M. et al. Pathway trajectory analysis with tensor imputation reveals drug-induced single-cell transcriptomic landscape. Nat. Comput. Sci. https://doi.org/10.1038/s43588-022-00352-8 (2022).
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Single-cell-specific drug activities are revealed by a tensor imputation algorithm. Nat Comput Sci 2, 707–708 (2022). https://doi.org/10.1038/s43588-022-00353-7
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DOI: https://doi.org/10.1038/s43588-022-00353-7
