Genomic and Transcriptomic Predictors of Response to Immune Checkpoint Inhibitors in Melanoma Patients: A Machine Learning Approach.

Cancers (Basel) · 2022 · PMC9688789 · PMID 36428698

Europe PMC DOI

hedged sentence

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closest p · 0.8× alpha

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boldest claim

The sentences

partially significantp -value = 0.04actually significant

Age at diagnosis was partially significant between R and NR ( p -value = 0.04), while TMB differed significantly (mean log2 (TMB+1): 3.14 versus 4.03, p -value < 0.0001).

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