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. 2024 Feb 19;14(2):e1586. doi: 10.1002/ctm2.1586

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© 2024 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Identifying therapeutic targets for high‐artificial intelligence‐derived prognostic index (AIDPI) patients: (A) A heat map shows inferred CNA in predicted osteosarcoma (OSA) cells, (B) a uniform manifold approximation and projection (UMAP) plot of nine annotated cell types, (C) a bubble plot displays marker gene expression across nine identified cell clusters, (D) in a Manhattan plot, genes highly expressed in specific cell clusters are pinpointed, (E) a donut chart displays the cellular sources of differentially expressed genes (DEGs) between the two AIDPI groups, (F) a Venn diagram presents shared entities among the indicated gene groups and (G) feature plots display normalized expression of the indicated genes across individual cells.