Ontology highlight
ABSTRACT:
SUBMITTER: Rudra P
PROVIDER: S-EPMC5616165 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature

Rudra Pratyaydipta P Zhou Yihui Y Wright Fred A FA
Stat (International Statistical Institute) 20170216 1
In modern high-throughput applications, it is important to identify pairwise associations between variables, and desirable to use methods that are powerful and sensitive to a variety of association relationships. We describe RankCover, a new non-parametric association test of association between two variables that measures the concentration of paired ranked points. Here 'concentration' is quantified using a disk-covering statistic similar to those employed in spatial data analysis. Consideration ...[more]