Predictive modeling of single-cell DNA methylome data enhances integration with transcriptome data

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Figure 3.
Figure 3.

Predicted gene activity using methylome data improves cell subtype identification for neurons. (A) UMAP of clustering result generated using mean promoter demethylation (MPD) as the input. (B) Violin plot of MPD values for marker genes for excitatory (Tyro3, Slc17a7, Tbr1, Itpka) and inhibitory (Slc6a1, Erbb4) neurons. (C) Same as A but using predicted gene activity (PGA) as the input. (D) Same as B but using predicted gene activity as the input.

This Article

  1. Published in Advance November 20, 2020, doi: 10.1101/gr.267047.120 Genome Res. 31: 101-109

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