Identification of an immune classification for cervical cancer and integrative analysis of multiomics data.

J Transl Med · 2021 · PMC8111986 · PMID 33971902

Europe PMC DOI

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0.0790

closest p · 1.6× alpha

0.0790

boldest claim

The sentences

showed a trendP = 0.079so close (0.05 < p ≤ 0.1)

MutSigs 2 showed a trend to enriched in active immune subgroup (Chi-square, 57.5%, P = 0.079), while MutSigs 13 exhibited a trend to enriched in exhausted subgroup (Chi-square, 34.8%, P = 0.130) (Fig. 3 d).

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