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Fig. 1 | Cancer Cell International

Fig. 1

From: Molecular subtypes predict therapeutic responses and identifying and validating diagnostic signatures based on machine learning in chronic myeloid leukemia

Fig. 1

Identification of differentially expressed genes (DEGs) between CML and normal samples. A, B Volcano plots of datasets GSE13159 (A) and GSE144119 (B) from the GEO database; blue dots represent up-regulated DEGs, gray dots represent nonsignificant genes, and red dots represent down-regulated DEGs. The top 10 high- and low-expressing DEGs with the smallest adjusted P-values would be listed. C The heatmap shows DEGs with common expression trend in both cohorts. D KEGG enrichment analysis of DEGs. E GO annotation analysis of DEGs

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Cancer Cell International

ISSN: 1475-2867

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