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Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data

Fig 6

Pathway-based classification models based on the KEGG pathway.

(A) Single-cell gene expression mapped to KEGG pathways enabled predictive models showing relatively high performance across multiple AI algorithms. (B) Heatmap (left) showing differences in 2D-CNN feature-importance between responders and non-responders; numbers on x- and y-axes denote distinct genes and pathways, respectively. List of pathways and their constituent genes showing the largest differences between responders and non-responders (right panel). (C) Prognostic analysis across three bulk RNA-seq datasets using responder-specific signature scores derived from genes within the eight responder-associated pathways identified in the highest score spot in Fig 6B (log-rank test).

Fig 6

doi: https://doi.org/10.1371/journal.pone.0343633.g006