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Fig. 1 | BMC Biology

Fig. 1

From: A cell-to-patient machine learning transfer approach uncovers novel basal-like breast cancer prognostic markers amongst alternative splice variants

Fig. 1

Basal cell lines are divided in two subgroups based on gene expression and splicing patterns. a Heatmap of the transcripts per million (TPM) values of the 635 genes which differential expression can cluster breast cancer cell lines into basal A and basal B (P value < 10− 3 by Kruskal-Wallis test). b Heatmap of the percentage spliced-in (PSI) values of the 217 exons which differential splicing can cluster breast cancer cell lines into basal A and basal B (P value < 10− 3 by Kruskal-Wallis test). c Venn Diagram of the genes differentially expressed and/or spliced between basal A and basal B cancer cell lines. The overlap is not higher than expected by Fisher’s exact test, two tail (p = 0.098)

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BMC Biology

ISSN: 1741-7007

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