Influence of Feature Encoding and Choice of Classifier on Disease Risk Prediction in Genome-Wide Association Studies.

PLoS One · 2015 · PMC4540285 · PMID 26285210

Europe PMC DOI

hedged sentence

0.0000

closest p · 0.0× alpha

0.0000

boldest claim

The sentences

highly significantp < 1 ⋅ 10 −13actually significant

The p -value reported by the Friedman test is still highly significant ( p < 1 ⋅ 10 −13 ), but Shaffer’s static method could only separate the classifiers into two groups.

also in 132,142 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.