Check ChIP-seq training data before trusting models: low peaks and swaps break them
jmschreiber91 · x · 2026-10-31
The author advises a cursory check of the underlying data behind models like Cherimoya for ENCODE ChIP-seq: too few peaks, sample swaps or low quality data make the model unreliable, just as you wouldn't trust peak calls or differential enrichment from bad data.
Related event: Cherimoya ChIP-seq models delivered as-is: garbage data in, garbage out(2 posts)→
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