Fig. 6
From: Deep learning to estimate response of concurrent chemoradiotherapy in non-small-cell lung carcinoma
Investigating the potential biological mechanism of the DL model. a KEGG pathways identified using GSEA for the set of up-regulated expressed genes. b KEGG pathways identified using GSEA for the set of down-regulated expressed genes. c UMAP plot of 78,829 immune cells from 6 patients with NSCLC; these immune cells were clustered into 10 sub-types. d Distribution of expression of three top correlated genes (CD8A, SIGLEC10, and MFSD12) with the DL model. DL, deep learning; KEGG, Kyoto Encyclopedia of Genes and Genomes. GSEA, Gene Set Enrichment Analysis; NSCLC, Non-small-cell lung carcinoma; UMAP, Uniform Manifold Approximation and Projection