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Journal of Big Data
Fig. 4 | Journal of Big Data

Fig. 4

From: Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses

Fig. 4

Biological peculiarities of the MLIIC signature score in the TCGA dataset. (A) MsigDB-based GSVA analysis delineated the biological attributes of two MLIIC signature score groups displayed via heat map. (B) t-SNE plot of GO and KEGG terms delineated the differences in pathway activity in two MLIIC signature score groups. (C) Chromosome distribution of genes significantly correlated with MLIIC signature score. (D) Metascape-based enrichment analysis of genes significantly associated with MLIIC signature score. (E) GSEA of GO and KEGG terms for the MLIIC signature score

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