Differences in molecular sampling and data processing explain variation among single-cell and single-nucleus RNA-seq experiments

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Figure 4.
Figure 4.

Approaches for measuring and mitigating sampling bias. (A) GOseq depicts and models the relationship between a bias term (gene length) and the chance of appearing differentially expressed. Points represent bins of 300 genes each on log10 scale. (B) After correcting for gene length, GO terms enriched in nuclei are consistent with known patterns of RNA localization.

This Article

  1. Published in Advance February 14, 2024, doi: 10.1101/gr.278253.123 Genome Res. 34: 179-188

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