A deep learning model for characterizing protein-RNA interactions from sequences at single-base resolution.

Patterns (N Y) · 2025 · PMC11783876 · PMID 39896261

Europe PMC DOI

hedged sentence

0.0600

closest p · 1.2× alpha

0.0600

boldest claim

The sentences

did not reach statistical significancep = 0.06so close (0.05 < p ≤ 0.1)

Although one motif, TTTTT, did not reach statistical significance ( p = 0.06), it remains a well-characterized motif associated with multiple RBPs. 14 , 15 , 16 These results indicate that the motif signatures represent specific sequence patterns recognized by attention heads.

also in 111,027 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.