Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes.

BMC Bioinformatics · 2006 · PMC1590054 · PMID 16945146

Europe PMC DOI

hedged sentence

—

closest p

—

boldest claim

The sentences

borderline significantno p-value reported

Interestingly, the performance of most other clustering algorithms was not significantly better than random clustering except for Fanny with cluster size k = 7 (Fanny, Euclidean with k = 8 is borderline significant) and Diana (Euclidian) with k = 10.

also in 11,409 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.