Extended Data Figure 2: Unsupervised clustering is not biased by a range of possible confounding factors. | Nature

Extended Data Figure 2: Unsupervised clustering is not biased by a range of possible confounding factors.

From: DNA methylation-based classification of central nervous system tumours

Extended Data Figure 2

a, t-SNE representations of the 2,801 biologically independent samples constituting the reference cohort as shown in Fig. 1b overlaid with potentially confounding factors (bf). b, Distribution of patient sex among the classes illustrates equal or near equal distribution of many classes, but also an expected enrichment for one sex in some classes (for example, female in meningioma or CNS high-grade neuroepithelial tumours with MN1 alteration). c, Patient age illustrates the expected age distribution of many tumour classes. df, The slightly uneven distribution of type of material (for example, pilocytic astrocytoma or meningioma) (d), array preparation date (e) and tissue source (f) are related to the specifics of assembling the reference cohort and do not indicate an apparent confounding effect on the unsupervised clustering.

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