The results of our pan-cancer analyses revealed that functionally relevant m 6 A sites may, in general, exhibit highly significant genomic characteristics (e.g., specific genomic positions) rather than variability in the RNA sequences, and our model demonstrated performance comparable with models distinguishing m 6 A from non-m 6 A sites.
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Interpretable deep cross networks unveiled common signatures of dysregulated epitranscriptomes across 12 cancer types.
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